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Data Engineer - Knowledge Graph
at Point72
Mid LevelNo visa sponsorshipData Engineering
Posted a day ago
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- Compensation
- $200,000 – $300,000 USD
- City
- Country
- United States
Currency: $ (USD)
**Data Engineer - Knowledge Graph** - Design, optimize data pipelines with Apache Spark, Kafka, AWS Glue - Curate and consolidate data from diverse sources, enhancing our Knowledge Graph - Experience with Neo4j crucial; familiarity with machine learning a plus - Proven track record in data warehousing, ETL, and big data processing - Collaborate with data science teams, ensuring data quality and derivable insights
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Data Engineer - Knowledge Graph Career
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","title":"Data Engineer - Knowledge Graph","@type":"JobPosting","@context":"http://schema.org/"} CSJobDetailModule.init('{\"lastModifiedDateFormatted\":\"2026-08-13\",\"job\":{\"attributes\":{\"type\":\"Job__c\",\"url\":\"/services/data/v67.0/sobjects/Job__c/a03Vo0000213zN7IAI\"},\"Id\":\"a03Vo0000213zN7IAI\",\"Name\":\"Data Engineer - Knowledge Graph\",\"Assigned_Internal_Recruiter__c\":\"005Vo00000ysteTIAQ\",\"Job_Code__c\":\"IVS-0015200\",\"Experience__c\":\"Experienced Professionals\",\"Company__c\":\"0015b00001nlJvSAAU\",\"Posted_Location__c\":\"New York\",\"Area__c\":\"Research, Data & Analytics;Technology & Engineering\",\"Team__c\":\"Data Engineering\",\"Job_Description_External__c\":\"\u003Ch3\u003EA Career with Point72’s Market Intelligence Team\u003C/h3\u003E\\n\u003Cp\u003EOn our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat you’ll do\u003C/h3\u003E\\n\u003Cp\u003EAs a Data Engineer, you will help leverage knowledge graphs that connect companies, industries, and insights about the broader economy. This role begins as an individual contributor position with clear paths to expand your technical leadership as the platform grows. Specifically, you will:\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EDesign and implement a comprehensive financial knowledge graph architecture with sophisticated data models that capture complex financial relationships.\u003C/li\u003E\u003Cli\u003ECreate robust graph processing pipelines for data ingestion, transformation, knowledge extraction, and advanced analytics capabilities.\u003C/li\u003E\u003Cli\u003EDefine and implement best practices for knowledge graph development, implementation, and maintenance across the organization.\u003C/li\u003E\u003Cli\u003EChampion the adoption of graph-based solutions across Market Intelligence.\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EWhat’s excites you\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EYou are passionate about designing data models that represent sophisticated financial relationships and dependencies. You find satisfaction in transforming disparate data sources into a unified, interconnected knowledge graph and implementing graph algorithms to uncover hidden patterns and relationships in financial data.\u003C/li\u003E\u003Cli\u003EYou excel at navigating organizational change management and driving adoption of new technologies across diverse teams. You are energized by working with stakeholders and productive collaboration that advances technical initiatives.\u003C/li\u003E\u003Cli\u003EYou are motivated by fast-paced environments that require adaptability and strategic problem-solving skills.\u003C/li\u003E\u003Cli\u003EYou are driven by creating graph-based solutions that help enhance investment decision-making processes.\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EWhat excites us\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EWe value your proven ability to build and lead engineering teams through complex technical implementations. Your strong track record of hiring and developing technical talent in specialized domains will be essential as we grow our knowledge graph capabilities.\u003C/li\u003E\u003Cli\u003EWe are looking for deep expertise in graph data modeling and ontology design specifically for financial applications. Your hands-on experience with graph databases (Neo4j, TigerGraph, Amazon Neptune, etc.) and strong coding skills focused on developing graph-based applications and algorithms will drive our technical success.\u003C/li\u003E\u003Cli\u003EWe value interpersonal skills and a willingness to collaborate with stakeholders to achieve technical and business objectives.\u003C/li\u003E\u003Cli\u003EWe appreciate your demonstrated success in mentoring engineers and helping them grow into graph specialists.\u003C/li\u003E\u003Cli\u003EWe seek candidates with a methodical approach to solving complex data modeling and integration challenges. We value people who "elevate the room" through their work ethic, curiosity, and solution-oriented attitude, inspiring those around them to achieve more.\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EWhat’s required\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EProven experience leading technical teams and mentoring engineers to develop technical talent.\u003C/li\u003E\u003Cli\u003EStrong expertise in graph data modeling, ontology design, and semantic technologies.\u003C/li\u003E\u003Cli\u003EHands-on experience with at least one major graph database technology.\u003C/li\u003E\u003Cli\u003EAdvanced programming skills in Python or another high-level language.\u003C/li\u003E\u003Cli\u003EExperience with data integration from diverse sources into unified knowledge graphs.\u003C/li\u003E\u003Cli\u003ETrack record of successfully implementing change management for technical initiatives.\u003C/li\u003E\u003Cli\u003EDemonstrated ability to work effectively with challenging stakeholders.\u003C/li\u003E\u003Cli\u003EExperience hiring and building specialized technical teams.\u003C/li\u003E\u003Cli\u003ECommitment to the highest ethical standards.\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EWe take care of our people\u003C/h3\u003E\\n\u003Cp\u003EWe invest in our people, their careers, their health, and their well-being. When you work here, we provide:\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EFully-paid health care benefits\u003C/li\u003E\u003Cli\u003EGenerous parental and family leave policies\u003C/li\u003E\u003Cli\u003EVolunteer opportunities\u003C/li\u003E\u003Cli\u003ESupport for employee-led affinity groups representing women, people of color and the LGBT+ community\u003C/li\u003E\u003Cli\u003EMental and physical wellness programs\u003C/li\u003E\u003Cli\u003ETuition assistance\u003C/li\u003E\u003Cli\u003EA 401(k) savings program with an employer match and more\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cbr\u003E\u003C/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbout Point72\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003EPoint72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit \u003Ca href=\\\"https://point72.com/\\\" target=\\\"_blank\\\"\u003Ehttps://point72.com/\u003C/a\u003E. \u003C/p\u003E\u003Cbr\u003E\u003Cp\u003EThe annual base salary range for this role is $200,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. 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P72 Careers - Header
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color: #18181a !important; } .c-menu-mega-careers ul a:focus, .c-menu-mega-careers ul a:hover { color: #b08725 !important; color: var(--p72-color-content-stronger) !important; } li.c-menu-mobile__menu-item > a.c-menu-mobile__link, li.c-menu-mobile__menu-item > a.c-menu-mobile__link span { color: #18181a !important; } li.c-menu-mobile__menu-item > a.c-menu-mobile__link:hover, li.c-menu-mobile__menu-item > a.c-menu-mobile__link:hover span { color: var(--p72-color-content-stronger, #b08725) !important; } li.c-menu-mobile__menu-item > a.c-menu-mobile__link, li.c-menu-mobile__menu-item > a.c-menu-mobile__link span { color: #18181a !important; } li.o-icon > a.o-icon:hover, li.o-icon > a.o-icon:hover span { color: var(--p72-color-content-stronger, #b08725) !important; } .o-button--outlined { background-color: transparent; color: black; border: 1px solid black; transition: all 0.3s ease; } .o-button--outlined:focus, .o-button--outlined:hover { background-color: var(--p72-color-button-background, #b08725); border-color: var(--p72-color-button-background, #b08725); color: var(--p72-color-button-text, #f5f4ee); } .c-menu-mega { opacity: 0; visibility: hidden; transform: translateY(5px); transition: opacity 0.15s ease-out, transform 0.15s ease-out; will-change: opacity, transform; } body.header-scrolled .c-header { top: var(--p72-cookie-consent-height, 0px) !important; } body.header-scrolled .c-menu-mobile { /*top: 0 !important;*/ } /* Header common style */ .c-header, .c-header.l-wrap, .c-header .l-wrap { transition: none !important; will-change: auto; } /* Optional: reset header when scrolled */ body.header-scrolled .c-header, body.header-scrolled .c-header.l-wrap, body.header-scrolled .c-header .l-wrap { top: 0 !important; } @media only screen and (max-width:768px) { .c-cookie-consent__container { padding: 8px 10px !important; } body.header-scrolled .c-header, body.header-scrolled .c-header.l-wrap { padding-top: 13px; !important; } body.header-scrolled .c-header .l-wrap { padding-top: 13px; !important; } .c-cookie-consent__content p,.c-cookie-consent__content a { max-width: 100% !important; font-family:"Aptos", sans-serif; font-size:14px !important; line-height:18.2px !important; } } /* ========================================================= Combined CSS: c-menu-mobile + u-hide-after--md + u-spacing--lg Includes required variables + hamburger related CSS ========================================================= */ /* ========================================================= Required Variables ========================================================= */ :root { --p72-header-height: 100px; --p72-space-xxs: 0.25rem; --p72-space-xs: 0.5rem; --p72-space-sm: 0.75rem; --p72-space: 1rem; --p72-space-md: 1.5rem; --p72-space-lg: 2rem; --p72-animation-duration: 0.4s; --p72-animation-duration-long: 0.6s; --p72-animation-timing: cubic-bezier(0.65, 0, 0.35, 1); --p72-z-index-5: 5; --p72-border-width: 1px; --p72-font-family-secondary: Aptos, sans-serif; --p72-font-weight-bold: 700; --p72-font-size-heading-xs: 1.25rem; --p72-line-height-tight: 1.1; --p72-letter-spacing-wide: 0.06em; --p72-typography-heading-xs: var(--p72-font-weight-bold) var(--p72-font-size-heading-xs) / var(--p72-line-height-tight) var(--p72-font-family-secondary); --p72-color-brand-cream: #f5f4ee; --p72-color-brand-gold: #b08725; --p72-color-brand-slate: #505a6b; --p72-color-brand-charcoal: #18181a; --p72-color-background: var(--p72-color-brand-charcoal); --p72-color-content: var(--p72-color-brand-cream); --p72-color-content-stronger: var(--p72-color-brand-gold); --p72-color-border: var(--p72-color-brand-slate); --p72-cookie-consent-height: 0px; --p72-icon-size-sm: 0.9375rem; } /* ========================================================= Utility: u-hide-after--md Hidden after medium breakpoint ========================================================= */ @media (min-width: 769px) { .u-hide-after--md { display: none !important; } } /* ========================================================= Utility: u-spacing--lg Adds large vertical spacing between direct children ========================================================= */ .u-spacing--lg > * + * { margin-top: 2rem; margin-top: var(--p72-space-lg); } /* ========================================================= Mobile Menu Container ========================================================= */ .c-menu-mobile { bottom: 0; height: calc(100% - var(--p72-cookie-consent-height)); overflow-y: scroll; padding: calc(100px + 1.5rem) 1.5rem 1.5rem; padding: calc(var(--p72-header-height) + var(--p72-space-md)) var(--p72-space-md) var(--p72-space-md) var(--p72-space-md); position: fixed; right: 0; top: var(--p72-cookie-consent-height) !important; transform: translate3d(100%, 0, 0); transition: all 0.6s cubic-bezier(0.65, 0, 0.35, 1); transition: all var(--p72-animation-duration-long) var(--p72-animation-timing); visibility: hidden; width: 100%; z-index: 5; z-index: var(--p72-z-index-5); background-color: var(--p72-color-background); color: var(--p72-color-content); } /* ========================================================= Mobile Menu Open State Add class c-menu-mobile-is-active to body or parent ========================================================= */ @media (max-width: 767px) { .c-menu-mobile-is-active .c-menu-mobile { transform: translateZ(0); visibility: visible; } body.c-menu-mobile-is-active { overflow: hidden; } } /* ========================================================= Mobile Menu Item ========================================================= */ .c-menu-mobile__menu-item { border-bottom: 1px solid #505a6b; border-bottom: var(--p72-border-width) solid var(--p72-color-border); display: flex; flex-flow: column nowrap; gap: 0.25rem; gap: var(--p72-space-xxs); overflow: hidden; width: 100%; } /* ========================================================= Mobile Menu Link / Button ========================================================= */ .c-menu-mobile__link { align-items: center; background: transparent; border: none; color: #f5f4ee; color: var(--p72-color-content); cursor: pointer; display: flex; font: 700 1.25rem/1.1 Aptos, sans-serif; font: var(--p72-typography-heading-xs); gap: 0.25rem; gap: var(--p72-space-xxs); justify-content: space-between; letter-spacing: 0.06em; letter-spacing: var(--p72-letter-spacing-wide); padding: 0.75rem 0; padding: var(--p72-space-sm) 0; text-transform: uppercase; transition: color 0.4s cubic-bezier(0.65, 0, 0.35, 1); transition: color var(--p72-animation-duration) var(--p72-animation-timing); width: 100%; text-align: left; } @media (max-width: 768px) { .c-menu-mobile__link { font-size: 1.0625rem; } } .c-menu-mobile__link:focus, .c-menu-mobile__link:hover { color: #b08725; color: var(--p72-color-content-stronger); } .c-menu-mobile__link svg { height: var(--p72-icon-size-sm); min-width: var(--p72-icon-size-sm); width: var(--p72-icon-size-sm); } /* ========================================================= Mobile Sub Menu ========================================================= */ .c-menu-mobile--sub-menu { display: none; } .c-menu-mobile--sub-menu ul { display: flex; flex-direction: column; gap: 0.25rem; gap: var(--p72-space-xxs); margin-bottom: 0.75rem; margin-bottom: var(--p72-space-sm); list-style: none; padding: 0; } .c-menu-mobile--sub-menu a { color: #f5f4ee; color: var(--p72-color-content); text-decoration: none; } @media (max-width: 768px) { .c-menu-mobile--sub-menu a { font-size: 0.875rem; } } .c-menu-mobile--sub-menu a:focus, .c-menu-mobile--sub-menu a:hover { color: #b08725; color: var(--p72-color-content-stronger); } /* Show submenu when menu item is active */ .c-menu-mobile__menu-item.this-is-active .c-menu-mobile--sub-menu { display: block; } /* ========================================================= Header Style When Mobile Menu Is Active ========================================================= */ .c-menu-mobile-is-active .c-header { backdrop-filter: blur(0); border-color: #505a6b; border-color: var(--p72-color-border); } /* ========================================================= Hamburger Button Base ========================================================= */ .o-button-hamburger { align-items: center; -webkit-appearance: none; -moz-appearance: none; appearance: none; background: transparent; border: none; color: #f5f4ee; color: var(--p72-color-content); cursor: pointer; display: flex; height: 50px; padding: 0; --p72-hamburger-line-height: 1px; --p72-hamburger-line-spacing: 6px; --p72-hamburger-line-width: 25px; --p72-hamburger-lines-total-height: calc( var(--p72-hamburger-line-spacing) * 2 + var(--p72-hamburger-line-height) * 3 ); } .o-button-hamburger__label { font: 700 1rem/1.1 Aptos, sans-serif; letter-spacing: 0.06em; letter-spacing: var(--p72-letter-spacing-wide); text-transform: uppercase; } .o-button-hamburger__lines { height: var(--p72-hamburger-lines-total-height); margin-left: 0.25rem; margin-left: var(--p72-space-xxs); position: relative; transition: transform 0.5s ease-in-out; width: var(--p72-hamburger-line-width); } .o-button-hamburger__line { background-color: currentcolor; height: var(--p72-hamburger-line-height); left: 0; position: absolute; transition: transform 0.3s ease, top 0.3s ease, opacity 0.3s ease; width: 100%; } .o-button-hamburger__line:first-child { top: 0; } .o-button-hamburger__line:nth-child(2) { top: calc( var(--p72-hamburger-line-spacing) + var(--p72-hamburger-line-height) ); } .o-button-hamburger__line:nth-child(3) { top: calc( (var(--p72-hamburger-line-spacing) + var(--p72-hamburger-line-height)) * 2 ); } /* ========================================================= Hamburger Active Animation Triggered by .c-menu-mobile-is-active ========================================================= */ .c-menu-mobile-is-active .o-button-hamburger__line:first-child { top: 50%; transform: rotate(45deg); } .c-menu-mobile-is-active .o-button-hamburger__line:nth-child(2) { opacity: 0; } .c-menu-mobile-is-active .o-button-hamburger__line:nth-child(3) { top: 50%; transform: rotate(-45deg); } /** * Extracted scroll-related functionality from the bundled app. * * Requires: * - GSAP * - ScrollTrigger * - Optional: jQuery if using the jQuery-based class add below * * If you are using ES modules: * * import gsap from "gsap"; * import ScrollTrigger from "gsap/ScrollTrigger"; * * gsap.registerPlugin(ScrollTrigger); */ /* ========================================================================== Cookie consent scroll/resize height tracking ========================================================================== */ const COOKIE_NOTICE_KEY = "p72_cookie_notice_dismissed"; const cookieConsentScroll = { _raf: null, _scrollBound: false, _onScroll: null, isDismissed() { try { return sessionStorage.getItem(COOKIE_NOTICE_KEY) === "1"; } catch (error) { return false; } }, setDismissed() { try { sessionStorage.setItem(COOKIE_NOTICE_KEY, "1"); } catch (error) {} }, showBanner() { const banner = document.querySelector(".js-cookie-consent"); if (banner) { banner.classList.remove("is-hidden"); banner.classList.add("is-visible"); this.updateHeightVar(); this.bindScroll(); } }, hideBanner() { const banner = document.querySelector(".js-cookie-consent"); if (banner) { banner.classList.remove("is-visible"); banner.classList.add("is-hidden"); this.unbindScroll(); this.updateHeightVar(); } }, updateHeightVar() { const banner = document.querySelector(".js-cookie-consent"); let height = 0; if (banner && !banner.classList.contains("is-hidden")) { const rect = banner.getBoundingClientRect(); height = Math.min( Math.max(rect.bottom, 0), banner.offsetHeight ); } document.documentElement.style.setProperty( "--p72-cookie-consent-height", `${height}px` ); }, onScroll() { if (!this._raf) { this._raf = window.requestAnimationFrame(() => { this._raf = null; this.updateHeightVar(); }); } }, bindScroll() { if (!this._scrollBound) { this._scrollBound = true; this._onScroll = this.onScroll.bind(this); window.addEventListener("scroll", this._onScroll, { passive: true, }); window.addEventListener("resize", this._onScroll, { passive: true, }); } }, unbindScroll() { if (this._scrollBound) { this._scrollBound = false; window.removeEventListener("scroll", this._onScroll); window.removeEventListener("resize", this._onScroll); } }, observeHeight() { const banner = document.querySelector(".js-cookie-consent"); if (!banner || typeof ResizeObserver === "undefined") return; new ResizeObserver(() => this.updateHeightVar()).observe(banner); }, handleClose() { this.setDismissed(); this.hideBanner(); }, init() { const banner = document.querySelector(".js-cookie-consent"); if (banner) { if (this.isDismissed()) { this.updateHeightVar(); } else { this.showBanner(); } this.observeHeight(); } else { document.documentElement.style.setProperty( "--p72-cookie-consent-height", "0px" ); } }, }; /* ========================================================================== Smooth anchor scrolling with header offset ========================================================================== */ function getAnchorTarget(hash) { if (!hash || hash === "#") return null; const id = hash.startsWith("#") ? hash.substring(1) : hash; let target = document.getElementById(id); if (!target) { try { target = document.querySelector(hash); } catch (error) { return null; } } return target; } function scrollToElementWithHeaderOffset(element) { const headerHeight = parseInt( getComputedStyle(document.documentElement) .getPropertyValue("--p72-header-height") ) || 0; const top = element.getBoundingClientRect().top + window.pageYOffset - headerHeight; window.scrollTo({ top, behavior: "smooth", }); } function initSmoothAnchorScrolling() { document.addEventListener("click", function (event) { const link = event.target.closest( 'a[href^="#"]:not([href="#"])' ); if (!link) return; const href = link.getAttribute("href"); const target = getAnchorTarget(href); if (target) { event.preventDefault(); scrollToElementWithHeaderOffset(target); if (history.pushState) { history.pushState(null, null, href); } } }); if (window.location.hash) { setTimeout(() => { const target = getAnchorTarget(window.location.hash); if (target) { scrollToElementWithHeaderOffset(target); } }, 100); } } /* ========================================================================== GSAP ScrollTrigger animations ========================================================================== */ function initGsapScrollAnimations() { if (typeof gsap === "undefined" || typeof ScrollTrigger === "undefined") { console.warn("GSAP or ScrollTrigger is not available."); return; } gsap.registerPlugin(ScrollTrigger); document.querySelectorAll(".js-gsap-trigger").forEach((trigger) => { /** * Fade in on scroll */ const fadeItems = trigger.querySelectorAll(".js-gsap-fade-in"); if (fadeItems.length > 0) { fadeItems.forEach((item, index) => { gsap.to(item, { opacity: 1, duration: 0.8, ease: "power1.in", scrollTrigger: item, delay: 0.1 * index, }); }); } /** * Scale in on scroll */ const scaleItems = trigger.querySelectorAll(".js-gsap-scale-in"); if (scaleItems.length > 0) { scaleItems.forEach((item, index) => { gsap.to(item, { scale: 1, opacity: 1, duration: 0.8, ease: "power1.in", scrollTrigger: item, delay: 0.1 * index, transformOrigin: "center center", }); }); } /** * Slide up on scroll */ const slideUpItems = trigger.querySelectorAll(".js-gsap-slide-in-up"); if (slideUpItems.length > 0) { slideUpItems.forEach((item, index) => { gsap.to(item, { opacity: 1, y: 0, duration: 0.8, ease: "power1.in", scrollTrigger: item, delay: 0.1 * index, }); }); } /** * Card entrance animation * * Note: * In the original bundle this is inside `.js-gsap-trigger`, * but it is not actually tied to ScrollTrigger. It runs immediately. */ const cards = trigger.querySelectorAll(".js-card-animate"); if (cards.length > 0) { console.log("Found cards to animate:", cards.length); gsap.set(cards, { opacity: 0, y: 12, filter: "blur(0.5px)", clearProps: "none", }); gsap.to(cards, { opacity: 1, y: 0, filter: "blur(0px)", duration: 0.3, ease: "power2.out", stagger: 0.03, delay: 0.05, }); } }); /** * Generic scroll class trigger */ gsap.utils.toArray(".u-scroll-animation").forEach((element) => { ScrollTrigger.create({ trigger: element, start: "top 90%", onEnter: () => { element.classList.add("u-scroll-animate"); }, }); }); } /* ========================================================================== Load-more card animation ========================================================================== */ function initLoadMoreScrollRelatedAnimation() { if (typeof jQuery === "undefined") { console.warn("jQuery is not available."); return; } if (typeof gsap === "undefined") { console.warn("GSAP is not available."); return; } const $ = jQuery; $(".js-button-load-more").on("click", () => { const hiddenItems = $(".js-filter-item.u-display--none").not(".ft-hidden"); const itemsToShow = hiddenItems.slice(0, 8); if (itemsToShow.length > 0) { const animatedCards = itemsToShow.find(".js-card-animate").get(); if (animatedCards.length > 0) { gsap.set(animatedCards, { opacity: 0, y: 12, filter: "blur(0.5px)", }); } itemsToShow.removeClass("u-display--none"); const filterContainer = $(".js-filter-container"); try { if (filterContainer.data("isotope")) { filterContainer.isotope("layout"); } } catch (error) {} if (animatedCards.length > 0) { gsap.to(animatedCards, { opacity: 1, y: 0, filter: "blur(0px)", duration: 0.4, ease: "power2.out", stagger: 0.04, }); } $(".js-button-load-more") .blur() .removeClass("active focus"); if (hiddenItems.length <= 8) { $(".js-button-load-more").hide(); } } }); } /* ========================================================================== Optional: Swiper timeline with horizontal scroll/drag behavior ========================================================================== */ /** * The bundle initializes a horizontal Swiper timeline. * * Requires Swiper and Navigation module. * * In the original minified code: * - fl = Swiper * - ml = Navigation module */ function initTimelineSwiper() { if (typeof Swiper === "undefined") { console.warn("Swiper is not available."); return; } // If using Swiper modules globally, adjust as needed. // Swiper.use([Navigation]); new Swiper(".js-timeline", { slidesPerView: 1, spaceBetween: "-10%", breakpoints: { 640: { slidesPerView: 2, }, 768: { slidesPerView: 3, }, 1024: { slidesPerView: 4, }, 1200: { slidesPerView: 5, }, }, direction: "horizontal", freeMode: true, navigation: { nextEl: ".swiper-button-next", prevEl: ".swiper-button-prev", }, }); } /* ========================================================================== Optional: Posts slider horizontal drag/scroll behavior ========================================================================== */ class PostsSlider { constructor() { this.sliders = document.querySelectorAll(".js-posts-slider"); this.swiperInstances = []; this.init(); } init() { if (!this.sliders.length) return; if (typeof Swiper === "undefined") { console.warn("Swiper is not available."); return; } // If using Swiper modules globally, adjust as needed. // Swiper.use([Navigation]); this.sliders.forEach((slider) => { const container = slider.querySelector(".js-posts-slider-container"); if (!container) return; const prevButton = slider.querySelector(".js-posts-slider-prev"); const nextButton = slider.querySelector(".js-posts-slider-next"); const swiper = new Swiper(container, { slidesPerView: "auto", spaceBetween: 0, grabCursor: true, watchSlidesProgress: true, wrapperClass: "js-posts-slider-wrapper", slideClass: "js-posts-slider-card", navigation: { nextEl: nextButton, prevEl: prevButton, }, on: { init: function () { if (prevButton) { prevButton.classList.add("swiper-button-disabled"); prevButton.setAttribute("disabled", "disabled"); } }, slideChange: function () { if (prevButton) { if (this.isBeginning) { prevButton.classList.add("swiper-button-disabled"); prevButton.setAttribute("disabled", "disabled"); } else { prevButton.classList.remove("swiper-button-disabled"); prevButton.removeAttribute("disabled"); } } if (nextButton) { if (this.isEnd) { nextButton.classList.add("swiper-button-disabled"); nextButton.setAttribute("disabled", "disabled"); } else { nextButton.classList.remove("swiper-button-disabled"); nextButton.removeAttribute("disabled"); } } }, }, }); this.swiperInstances.push(swiper); }); } } /* ========================================================================== Main initializer ========================================================================== */ function initExtractedScrollFunctionality() { cookieConsentScroll.init(); initSmoothAnchorScrolling(); initGsapScrollAnimations(); initLoadMoreScrollRelatedAnimation(); initTimelineSwiper(); new PostsSlider(); } /* ========================================================================== DOM ready ========================================================================== */ document.addEventListener("DOMContentLoaded", () => { initExtractedScrollFunctionality(); }); Point72, L.P. and its affiliates and our third-party partners use cookies and similar technologies to view and retain your site interactions to perform analytics, enable site functionality and assist our marketing efforts exclusively for recruiting purposes. 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Data Engineer - Knowledge Graph
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Experience
Experienced Professionals
Location
New York
Focus
Data Engineering
Business
Point72
A Career with Point72’s Market Intelligence Team
On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within.
What you’ll do
As a Data Engineer, you will help leverage knowledge graphs that connect companies, industries, and insights about the broader economy. This role begins as an individual contributor position with clear paths to expand your technical leadership as the platform grows. Specifically, you will:
- Design and implement a comprehensive financial knowledge graph architecture with sophisticated data models that capture complex financial relationships.
- Create robust graph processing pipelines for data ingestion, transformation, knowledge extraction, and advanced analytics capabilities.
- Define and implement best practices for knowledge graph development, implementation, and maintenance across the organization.
- Champion the adoption of graph-based solutions across Market Intelligence.
What’s excites you
- You are passionate about designing data models that represent sophisticated financial relationships and dependencies. You find satisfaction in transforming disparate data sources into a unified, interconnected knowledge graph and implementing graph algorithms to uncover hidden patterns and relationships in financial data.
- You excel at navigating organizational change management and driving adoption of new technologies across diverse teams. You are energized by working with stakeholders and productive collaboration that advances technical initiatives.
- You are motivated by fast-paced environments that require adaptability and strategic problem-solving skills.
- You are driven by creating graph-based solutions that help enhance investment decision-making processes.
What excites us
- We value your proven ability to build and lead engineering teams through complex technical implementations. Your strong track record of hiring and developing technical talent in specialized domains will be essential as we grow our knowledge graph capabilities.
- We are looking for deep expertise in graph data modeling and ontology design specifically for financial applications. Your hands-on experience with graph databases (Neo4j, TigerGraph, Amazon Neptune, etc.) and strong coding skills focused on developing graph-based applications and algorithms will drive our technical success.
- We value interpersonal skills and a willingness to collaborate with stakeholders to achieve technical and business objectives.
- We appreciate your demonstrated success in mentoring engineers and helping them grow into graph specialists.
- We seek candidates with a methodical approach to solving complex data modeling and integration challenges. We value people who "elevate the room" through their work ethic, curiosity, and solution-oriented attitude, inspiring those around them to achieve more.
What’s required
- Proven experience leading technical teams and mentoring engineers to develop technical talent.
- Strong expertise in graph data modeling, ontology design, and semantic technologies.
- Hands-on experience with at least one major graph database technology.
- Advanced programming skills in Python or another high-level language.
- Experience with data integration from diverse sources into unified knowledge graphs.
- Track record of successfully implementing change management for technical initiatives.
- Demonstrated ability to work effectively with challenging stakeholders.
- Experience hiring and building specialized technical teams.
- Commitment to the highest ethical standards.
We take care of our people
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
- Fully-paid health care benefits
- Generous parental and family leave policies
- Volunteer opportunities
- Support for employee-led affinity groups representing women, people of color and the LGBT+ community
- Mental and physical wellness programs
- Tuition assistance
- A 401(k) savings program with an employer match and more
About Point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.
The annual base salary range for this role is $200,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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A Career with Point72’s Market Intelligence Team
\nOn our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within.
What you’ll do
\nAs a Data Engineer, you will help leverage knowledge graphs that connect companies, industries, and insights about the broader economy. This role begins as an individual contributor position with clear paths to expand your technical leadership as the platform grows. Specifically, you will:
- Design and implement a comprehensive financial knowledge graph architecture with sophisticated data models that capture complex financial relationships.
- Create robust graph processing pipelines for data ingestion, transformation, knowledge extraction, and advanced analytics capabilities.
- Define and implement best practices for knowledge graph development, implementation, and maintenance across the organization.
- Champion the adoption of graph-based solutions across Market Intelligence.
What’s excites you
\n- You are passionate about designing data models that represent sophisticated financial relationships and dependencies. You find satisfaction in transforming disparate data sources into a unified, interconnected knowledge graph and implementing graph algorithms to uncover hidden patterns and relationships in financial data.
- You excel at navigating organizational change management and driving adoption of new technologies across diverse teams. You are energized by working with stakeholders and productive collaboration that advances technical initiatives.
- You are motivated by fast-paced environments that require adaptability and strategic problem-solving skills.
- You are driven by creating graph-based solutions that help enhance investment decision-making processes.
What excites us
\n- We value your proven ability to build and lead engineering teams through complex technical implementations. Your strong track record of hiring and developing technical talent in specialized domains will be essential as we grow our knowledge graph capabilities.
- We are looking for deep expertise in graph data modeling and ontology design specifically for financial applications. Your hands-on experience with graph databases (Neo4j, TigerGraph, Amazon Neptune, etc.) and strong coding skills focused on developing graph-based applications and algorithms will drive our technical success.
- We value interpersonal skills and a willingness to collaborate with stakeholders to achieve technical and business objectives.
- We appreciate your demonstrated success in mentoring engineers and helping them grow into graph specialists.
- We seek candidates with a methodical approach to solving complex data modeling and integration challenges. We value people who "elevate the room" through their work ethic, curiosity, and solution-oriented attitude, inspiring those around them to achieve more.
What’s required
\n- Proven experience leading technical teams and mentoring engineers to develop technical talent.
- Strong expertise in graph data modeling, ontology design, and semantic technologies.
- Hands-on experience with at least one major graph database technology.
- Advanced programming skills in Python or another high-level language.
- Experience with data integration from diverse sources into unified knowledge graphs.
- Track record of successfully implementing change management for technical initiatives.
- Demonstrated ability to work effectively with challenging stakeholders.
- Experience hiring and building specialized technical teams.
- Commitment to the highest ethical standards.
We take care of our people
\nWe invest in our people, their careers, their health, and their well-being. When you work here, we provide:
- Fully-paid health care benefits
- Generous parental and family leave policies
- Volunteer opportunities
- Support for employee-led affinity groups representing women, people of color and the LGBT+ community
- Mental and physical wellness programs
- Tuition assistance
- A 401(k) savings program with an employer match and more
About Point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.
The annual base salary range for this role is $200,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat you’ll do\u003C/h3\u003E\\n\u003Cp\u003EAs a Data Engineer, you will help leverage knowledge graphs that connect companies, industries, and insights about the broader economy. This role begins as an individual contributor position with clear paths to expand your technical leadership as the platform grows. Specifically, you will:\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EDesign and implement a comprehensive financial knowledge graph architecture with sophisticated data models that capture complex financial relationships.\u003C/li\u003E\u003Cli\u003ECreate robust graph processing pipelines for data ingestion, transformation, knowledge extraction, and advanced analytics capabilities.\u003C/li\u003E\u003Cli\u003EDefine and implement best practices for knowledge graph development, implementation, and maintenance across the organization.\u003C/li\u003E\u003Cli\u003EChampion the adoption of graph-based solutions across Market Intelligence.\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EWhat’s excites you\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EYou are passionate about designing data models that represent sophisticated financial relationships and dependencies. You find satisfaction in transforming disparate data sources into a unified, interconnected knowledge graph and implementing graph algorithms to uncover hidden patterns and relationships in financial data.\u003C/li\u003E\u003Cli\u003EYou excel at navigating organizational change management and driving adoption of new technologies across diverse teams. You are energized by working with stakeholders and productive collaboration that advances technical initiatives.\u003C/li\u003E\u003Cli\u003EYou are motivated by fast-paced environments that require adaptability and strategic problem-solving skills.\u003C/li\u003E\u003Cli\u003EYou are driven by creating graph-based solutions that help enhance investment decision-making processes.\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EWhat excites us\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EWe value your proven ability to build and lead engineering teams through complex technical implementations. Your strong track record of hiring and developing technical talent in specialized domains will be essential as we grow our knowledge graph capabilities.\u003C/li\u003E\u003Cli\u003EWe are looking for deep expertise in graph data modeling and ontology design specifically for financial applications. Your hands-on experience with graph databases (Neo4j, TigerGraph, Amazon Neptune, etc.) and strong coding skills focused on developing graph-based applications and algorithms will drive our technical success.\u003C/li\u003E\u003Cli\u003EWe value interpersonal skills and a willingness to collaborate with stakeholders to achieve technical and business objectives.\u003C/li\u003E\u003Cli\u003EWe appreciate your demonstrated success in mentoring engineers and helping them grow into graph specialists.\u003C/li\u003E\u003Cli\u003EWe seek candidates with a methodical approach to solving complex data modeling and integration challenges. We value people who "elevate the room" through their work ethic, curiosity, and solution-oriented attitude, inspiring those around them to achieve more.\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EWhat’s required\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EProven experience leading technical teams and mentoring engineers to develop technical talent.\u003C/li\u003E\u003Cli\u003EStrong expertise in graph data modeling, ontology design, and semantic technologies.\u003C/li\u003E\u003Cli\u003EHands-on experience with at least one major graph database technology.\u003C/li\u003E\u003Cli\u003EAdvanced programming skills in Python or another high-level language.\u003C/li\u003E\u003Cli\u003EExperience with data integration from diverse sources into unified knowledge graphs.\u003C/li\u003E\u003Cli\u003ETrack record of successfully implementing change management for technical initiatives.\u003C/li\u003E\u003Cli\u003EDemonstrated ability to work effectively with challenging stakeholders.\u003C/li\u003E\u003Cli\u003EExperience hiring and building specialized technical teams.\u003C/li\u003E\u003Cli\u003ECommitment to the highest ethical standards.\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EWe take care of our people\u003C/h3\u003E\\n\u003Cp\u003EWe invest in our people, their careers, their health, and their well-being. 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Data Engineer - Knowledge Graph
at Point72
Back to all Data Engineering jobs
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Data Engineer - Knowledge Graph
at Point72
Mid LevelNo visa sponsorshipData Engineering
Posted a day ago
No clicks
- Compensation
- $200,000 – $300,000 USD
- City
- Country
- United States
Currency: $ (USD)
**Data Engineer - Knowledge Graph** - Design, optimize data pipelines with Apache Spark, Kafka, AWS Glue - Curate and consolidate data from diverse sources, enhancing our Knowledge Graph - Experience with Neo4j crucial; familiarity with machine learning a plus - Proven track record in data warehousing, ETL, and big data processing - Collaborate with data science teams, ensuring data quality and derivable insights
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Data Engineer - Knowledge Graph Career
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","title":"Data Engineer - Knowledge Graph","@type":"JobPosting","@context":"http://schema.org/"} CSJobDetailModule.init('{\"lastModifiedDateFormatted\":\"2026-08-13\",\"job\":{\"attributes\":{\"type\":\"Job__c\",\"url\":\"/services/data/v67.0/sobjects/Job__c/a03Vo0000213zN7IAI\"},\"Id\":\"a03Vo0000213zN7IAI\",\"Name\":\"Data Engineer - Knowledge Graph\",\"Assigned_Internal_Recruiter__c\":\"005Vo00000ysteTIAQ\",\"Job_Code__c\":\"IVS-0015200\",\"Experience__c\":\"Experienced Professionals\",\"Company__c\":\"0015b00001nlJvSAAU\",\"Posted_Location__c\":\"New York\",\"Area__c\":\"Research, Data & Analytics;Technology & Engineering\",\"Team__c\":\"Data Engineering\",\"Job_Description_External__c\":\"\u003Ch3\u003EA Career with Point72’s Market Intelligence Team\u003C/h3\u003E\\n\u003Cp\u003EOn our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. 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We value people who "elevate the room" through their work ethic, curiosity, and solution-oriented attitude, inspiring those around them to achieve more.\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EWhat’s required\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EProven experience leading technical teams and mentoring engineers to develop technical talent.\u003C/li\u003E\u003Cli\u003EStrong expertise in graph data modeling, ontology design, and semantic technologies.\u003C/li\u003E\u003Cli\u003EHands-on experience with at least one major graph database technology.\u003C/li\u003E\u003Cli\u003EAdvanced programming skills in Python or another high-level language.\u003C/li\u003E\u003Cli\u003EExperience with data integration from diverse sources into unified knowledge graphs.\u003C/li\u003E\u003Cli\u003ETrack record of successfully implementing change management for technical initiatives.\u003C/li\u003E\u003Cli\u003EDemonstrated ability to work effectively with challenging stakeholders.\u003C/li\u003E\u003Cli\u003EExperience hiring and building specialized technical teams.\u003C/li\u003E\u003Cli\u003ECommitment to the highest ethical standards.\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EWe take care of our people\u003C/h3\u003E\\n\u003Cp\u003EWe invest in our people, their careers, their health, and their well-being. 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}, onScroll() { if (!this._raf) { this._raf = window.requestAnimationFrame(() => { this._raf = null; this.updateHeightVar(); }); } }, bindScroll() { if (!this._scrollBound) { this._scrollBound = true; this._onScroll = this.onScroll.bind(this); window.addEventListener("scroll", this._onScroll, { passive: true, }); window.addEventListener("resize", this._onScroll, { passive: true, }); } }, unbindScroll() { if (this._scrollBound) { this._scrollBound = false; window.removeEventListener("scroll", this._onScroll); window.removeEventListener("resize", this._onScroll); } }, observeHeight() { const banner = document.querySelector(".js-cookie-consent"); if (!banner || typeof ResizeObserver === "undefined") return; new ResizeObserver(() => this.updateHeightVar()).observe(banner); }, handleClose() { this.setDismissed(); this.hideBanner(); }, init() { const banner = document.querySelector(".js-cookie-consent"); if (banner) { if (this.isDismissed()) { this.updateHeightVar(); } else { this.showBanner(); } this.observeHeight(); } else { document.documentElement.style.setProperty( "--p72-cookie-consent-height", "0px" ); } }, }; /* ========================================================================== Smooth anchor scrolling with header offset ========================================================================== */ function getAnchorTarget(hash) { if (!hash || hash === "#") return null; const id = hash.startsWith("#") ? hash.substring(1) : hash; let target = document.getElementById(id); if (!target) { try { target = document.querySelector(hash); } catch (error) { return null; } } return target; } function scrollToElementWithHeaderOffset(element) { const headerHeight = parseInt( getComputedStyle(document.documentElement) .getPropertyValue("--p72-header-height") ) || 0; const top = element.getBoundingClientRect().top + window.pageYOffset - headerHeight; window.scrollTo({ top, behavior: "smooth", }); } function initSmoothAnchorScrolling() { document.addEventListener("click", function (event) { const link = event.target.closest( 'a[href^="#"]:not([href="#"])' ); if (!link) return; const href = link.getAttribute("href"); const target = getAnchorTarget(href); if (target) { event.preventDefault(); scrollToElementWithHeaderOffset(target); if (history.pushState) { history.pushState(null, null, href); } } }); if (window.location.hash) { setTimeout(() => { const target = getAnchorTarget(window.location.hash); if (target) { scrollToElementWithHeaderOffset(target); } }, 100); } } /* ========================================================================== GSAP ScrollTrigger animations ========================================================================== */ function initGsapScrollAnimations() { if (typeof gsap === "undefined" || typeof ScrollTrigger === "undefined") { console.warn("GSAP or ScrollTrigger is not available."); return; } gsap.registerPlugin(ScrollTrigger); document.querySelectorAll(".js-gsap-trigger").forEach((trigger) => { /** * Fade in on scroll */ const fadeItems = trigger.querySelectorAll(".js-gsap-fade-in"); if (fadeItems.length > 0) { fadeItems.forEach((item, index) => { gsap.to(item, { opacity: 1, duration: 0.8, ease: "power1.in", scrollTrigger: item, delay: 0.1 * index, }); }); } /** * Scale in on scroll */ const scaleItems = trigger.querySelectorAll(".js-gsap-scale-in"); if (scaleItems.length > 0) { scaleItems.forEach((item, index) => { gsap.to(item, { scale: 1, opacity: 1, duration: 0.8, ease: "power1.in", scrollTrigger: item, delay: 0.1 * index, transformOrigin: "center center", }); }); } /** * Slide up on scroll */ const slideUpItems = trigger.querySelectorAll(".js-gsap-slide-in-up"); if (slideUpItems.length > 0) { slideUpItems.forEach((item, index) => { gsap.to(item, { opacity: 1, y: 0, duration: 0.8, ease: "power1.in", scrollTrigger: item, delay: 0.1 * index, }); }); } /** * Card entrance animation * * Note: * In the original bundle this is inside `.js-gsap-trigger`, * but it is not actually tied to ScrollTrigger. It runs immediately. */ const cards = trigger.querySelectorAll(".js-card-animate"); if (cards.length > 0) { console.log("Found cards to animate:", cards.length); gsap.set(cards, { opacity: 0, y: 12, filter: "blur(0.5px)", clearProps: "none", }); gsap.to(cards, { opacity: 1, y: 0, filter: "blur(0px)", duration: 0.3, ease: "power2.out", stagger: 0.03, delay: 0.05, }); } }); /** * Generic scroll class trigger */ gsap.utils.toArray(".u-scroll-animation").forEach((element) => { ScrollTrigger.create({ trigger: element, start: "top 90%", onEnter: () => { element.classList.add("u-scroll-animate"); }, }); }); } /* ========================================================================== Load-more card animation ========================================================================== */ function initLoadMoreScrollRelatedAnimation() { if (typeof jQuery === "undefined") { console.warn("jQuery is not available."); return; } if (typeof gsap === "undefined") { console.warn("GSAP is not available."); return; } const $ = jQuery; $(".js-button-load-more").on("click", () => { const hiddenItems = $(".js-filter-item.u-display--none").not(".ft-hidden"); const itemsToShow = hiddenItems.slice(0, 8); if (itemsToShow.length > 0) { const animatedCards = itemsToShow.find(".js-card-animate").get(); if (animatedCards.length > 0) { gsap.set(animatedCards, { opacity: 0, y: 12, filter: "blur(0.5px)", }); } itemsToShow.removeClass("u-display--none"); const filterContainer = $(".js-filter-container"); try { if (filterContainer.data("isotope")) { filterContainer.isotope("layout"); } } catch (error) {} if (animatedCards.length > 0) { gsap.to(animatedCards, { opacity: 1, y: 0, filter: "blur(0px)", duration: 0.4, ease: "power2.out", stagger: 0.04, }); } $(".js-button-load-more") .blur() .removeClass("active focus"); if (hiddenItems.length <= 8) { $(".js-button-load-more").hide(); } } }); } /* ========================================================================== Optional: Swiper timeline with horizontal scroll/drag behavior ========================================================================== */ /** * The bundle initializes a horizontal Swiper timeline. * * Requires Swiper and Navigation module. * * In the original minified code: * - fl = Swiper * - ml = Navigation module */ function initTimelineSwiper() { if (typeof Swiper === "undefined") { console.warn("Swiper is not available."); return; } // If using Swiper modules globally, adjust as needed. // Swiper.use([Navigation]); new Swiper(".js-timeline", { slidesPerView: 1, spaceBetween: "-10%", breakpoints: { 640: { slidesPerView: 2, }, 768: { slidesPerView: 3, }, 1024: { slidesPerView: 4, }, 1200: { slidesPerView: 5, }, }, direction: "horizontal", freeMode: true, navigation: { nextEl: ".swiper-button-next", prevEl: ".swiper-button-prev", }, }); } /* ========================================================================== Optional: Posts slider horizontal drag/scroll behavior ========================================================================== */ class PostsSlider { constructor() { this.sliders = document.querySelectorAll(".js-posts-slider"); this.swiperInstances = []; this.init(); } init() { if (!this.sliders.length) return; if (typeof Swiper === "undefined") { console.warn("Swiper is not available."); return; } // If using Swiper modules globally, adjust as needed. // Swiper.use([Navigation]); this.sliders.forEach((slider) => { const container = slider.querySelector(".js-posts-slider-container"); if (!container) return; const prevButton = slider.querySelector(".js-posts-slider-prev"); const nextButton = slider.querySelector(".js-posts-slider-next"); const swiper = new Swiper(container, { slidesPerView: "auto", spaceBetween: 0, grabCursor: true, watchSlidesProgress: true, wrapperClass: "js-posts-slider-wrapper", slideClass: "js-posts-slider-card", navigation: { nextEl: nextButton, prevEl: prevButton, }, on: { init: function () { if (prevButton) { prevButton.classList.add("swiper-button-disabled"); prevButton.setAttribute("disabled", "disabled"); } }, slideChange: function () { if (prevButton) { if (this.isBeginning) { prevButton.classList.add("swiper-button-disabled"); prevButton.setAttribute("disabled", "disabled"); } else { prevButton.classList.remove("swiper-button-disabled"); prevButton.removeAttribute("disabled"); } } if (nextButton) { if (this.isEnd) { nextButton.classList.add("swiper-button-disabled"); nextButton.setAttribute("disabled", "disabled"); } else { nextButton.classList.remove("swiper-button-disabled"); nextButton.removeAttribute("disabled"); } } }, }, }); this.swiperInstances.push(swiper); }); } } /* ========================================================================== Main initializer ========================================================================== */ function initExtractedScrollFunctionality() { cookieConsentScroll.init(); initSmoothAnchorScrolling(); initGsapScrollAnimations(); initLoadMoreScrollRelatedAnimation(); initTimelineSwiper(); new PostsSlider(); } /* ========================================================================== DOM ready ========================================================================== */ document.addEventListener("DOMContentLoaded", () => { initExtractedScrollFunctionality(); }); Point72, L.P. and its affiliates and our third-party partners use cookies and similar technologies to view and retain your site interactions to perform analytics, enable site functionality and assist our marketing efforts exclusively for recruiting purposes. 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Data Engineer - Knowledge Graph
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Experience
Experienced Professionals
Location
New York
Focus
Data Engineering
Business
Point72
A Career with Point72’s Market Intelligence Team
On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within.
What you’ll do
As a Data Engineer, you will help leverage knowledge graphs that connect companies, industries, and insights about the broader economy. This role begins as an individual contributor position with clear paths to expand your technical leadership as the platform grows. Specifically, you will:
- Design and implement a comprehensive financial knowledge graph architecture with sophisticated data models that capture complex financial relationships.
- Create robust graph processing pipelines for data ingestion, transformation, knowledge extraction, and advanced analytics capabilities.
- Define and implement best practices for knowledge graph development, implementation, and maintenance across the organization.
- Champion the adoption of graph-based solutions across Market Intelligence.
What’s excites you
- You are passionate about designing data models that represent sophisticated financial relationships and dependencies. You find satisfaction in transforming disparate data sources into a unified, interconnected knowledge graph and implementing graph algorithms to uncover hidden patterns and relationships in financial data.
- You excel at navigating organizational change management and driving adoption of new technologies across diverse teams. You are energized by working with stakeholders and productive collaboration that advances technical initiatives.
- You are motivated by fast-paced environments that require adaptability and strategic problem-solving skills.
- You are driven by creating graph-based solutions that help enhance investment decision-making processes.
What excites us
- We value your proven ability to build and lead engineering teams through complex technical implementations. Your strong track record of hiring and developing technical talent in specialized domains will be essential as we grow our knowledge graph capabilities.
- We are looking for deep expertise in graph data modeling and ontology design specifically for financial applications. Your hands-on experience with graph databases (Neo4j, TigerGraph, Amazon Neptune, etc.) and strong coding skills focused on developing graph-based applications and algorithms will drive our technical success.
- We value interpersonal skills and a willingness to collaborate with stakeholders to achieve technical and business objectives.
- We appreciate your demonstrated success in mentoring engineers and helping them grow into graph specialists.
- We seek candidates with a methodical approach to solving complex data modeling and integration challenges. We value people who "elevate the room" through their work ethic, curiosity, and solution-oriented attitude, inspiring those around them to achieve more.
What’s required
- Proven experience leading technical teams and mentoring engineers to develop technical talent.
- Strong expertise in graph data modeling, ontology design, and semantic technologies.
- Hands-on experience with at least one major graph database technology.
- Advanced programming skills in Python or another high-level language.
- Experience with data integration from diverse sources into unified knowledge graphs.
- Track record of successfully implementing change management for technical initiatives.
- Demonstrated ability to work effectively with challenging stakeholders.
- Experience hiring and building specialized technical teams.
- Commitment to the highest ethical standards.
We take care of our people
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
- Fully-paid health care benefits
- Generous parental and family leave policies
- Volunteer opportunities
- Support for employee-led affinity groups representing women, people of color and the LGBT+ community
- Mental and physical wellness programs
- Tuition assistance
- A 401(k) savings program with an employer match and more
About Point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.
The annual base salary range for this role is $200,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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A Career with Point72’s Market Intelligence Team
\nOn our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within.
What you’ll do
\nAs a Data Engineer, you will help leverage knowledge graphs that connect companies, industries, and insights about the broader economy. This role begins as an individual contributor position with clear paths to expand your technical leadership as the platform grows. Specifically, you will:
- Design and implement a comprehensive financial knowledge graph architecture with sophisticated data models that capture complex financial relationships.
- Create robust graph processing pipelines for data ingestion, transformation, knowledge extraction, and advanced analytics capabilities.
- Define and implement best practices for knowledge graph development, implementation, and maintenance across the organization.
- Champion the adoption of graph-based solutions across Market Intelligence.
What’s excites you
\n- You are passionate about designing data models that represent sophisticated financial relationships and dependencies. You find satisfaction in transforming disparate data sources into a unified, interconnected knowledge graph and implementing graph algorithms to uncover hidden patterns and relationships in financial data.
- You excel at navigating organizational change management and driving adoption of new technologies across diverse teams. You are energized by working with stakeholders and productive collaboration that advances technical initiatives.
- You are motivated by fast-paced environments that require adaptability and strategic problem-solving skills.
- You are driven by creating graph-based solutions that help enhance investment decision-making processes.
What excites us
\n- We value your proven ability to build and lead engineering teams through complex technical implementations. Your strong track record of hiring and developing technical talent in specialized domains will be essential as we grow our knowledge graph capabilities.
- We are looking for deep expertise in graph data modeling and ontology design specifically for financial applications. Your hands-on experience with graph databases (Neo4j, TigerGraph, Amazon Neptune, etc.) and strong coding skills focused on developing graph-based applications and algorithms will drive our technical success.
- We value interpersonal skills and a willingness to collaborate with stakeholders to achieve technical and business objectives.
- We appreciate your demonstrated success in mentoring engineers and helping them grow into graph specialists.
- We seek candidates with a methodical approach to solving complex data modeling and integration challenges. We value people who "elevate the room" through their work ethic, curiosity, and solution-oriented attitude, inspiring those around them to achieve more.
What’s required
\n- Proven experience leading technical teams and mentoring engineers to develop technical talent.
- Strong expertise in graph data modeling, ontology design, and semantic technologies.
- Hands-on experience with at least one major graph database technology.
- Advanced programming skills in Python or another high-level language.
- Experience with data integration from diverse sources into unified knowledge graphs.
- Track record of successfully implementing change management for technical initiatives.
- Demonstrated ability to work effectively with challenging stakeholders.
- Experience hiring and building specialized technical teams.
- Commitment to the highest ethical standards.
We take care of our people
\nWe invest in our people, their careers, their health, and their well-being. When you work here, we provide:
- Fully-paid health care benefits
- Generous parental and family leave policies
- Volunteer opportunities
- Support for employee-led affinity groups representing women, people of color and the LGBT+ community
- Mental and physical wellness programs
- Tuition assistance
- A 401(k) savings program with an employer match and more
About Point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.
The annual base salary range for this role is $200,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
","title":"Data Engineer - Knowledge Graph","@type":"JobPosting","@context":"http://schema.org/"} CSJobDetailModule.init('{\"lastModifiedDateFormatted\":\"2026-08-13\",\"job\":{\"attributes\":{\"type\":\"Job__c\",\"url\":\"/services/data/v67.0/sobjects/Job__c/a03Vo0000213zN7IAI\"},\"Id\":\"a03Vo0000213zN7IAI\",\"Name\":\"Data Engineer - Knowledge Graph\",\"Assigned_Internal_Recruiter__c\":\"005Vo00000ysteTIAQ\",\"Job_Code__c\":\"IVS-0015200\",\"Experience__c\":\"Experienced Professionals\",\"Company__c\":\"0015b00001nlJvSAAU\",\"Posted_Location__c\":\"New York\",\"Area__c\":\"Research, Data & Analytics;Technology & Engineering\",\"Team__c\":\"Data Engineering\",\"Job_Description_External__c\":\"\u003Ch3\u003EA Career with Point72’s Market Intelligence Team\u003C/h3\u003E\\n\u003Cp\u003EOn our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat you’ll do\u003C/h3\u003E\\n\u003Cp\u003EAs a Data Engineer, you will help leverage knowledge graphs that connect companies, industries, and insights about the broader economy. This role begins as an individual contributor position with clear paths to expand your technical leadership as the platform grows. Specifically, you will:\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EDesign and implement a comprehensive financial knowledge graph architecture with sophisticated data models that capture complex financial relationships.\u003C/li\u003E\u003Cli\u003ECreate robust graph processing pipelines for data ingestion, transformation, knowledge extraction, and advanced analytics capabilities.\u003C/li\u003E\u003Cli\u003EDefine and implement best practices for knowledge graph development, implementation, and maintenance across the organization.\u003C/li\u003E\u003Cli\u003EChampion the adoption of graph-based solutions across Market Intelligence.\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EWhat’s excites you\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EYou are passionate about designing data models that represent sophisticated financial relationships and dependencies. You find satisfaction in transforming disparate data sources into a unified, interconnected knowledge graph and implementing graph algorithms to uncover hidden patterns and relationships in financial data.\u003C/li\u003E\u003Cli\u003EYou excel at navigating organizational change management and driving adoption of new technologies across diverse teams. You are energized by working with stakeholders and productive collaboration that advances technical initiatives.\u003C/li\u003E\u003Cli\u003EYou are motivated by fast-paced environments that require adaptability and strategic problem-solving skills.\u003C/li\u003E\u003Cli\u003EYou are driven by creating graph-based solutions that help enhance investment decision-making processes.\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EWhat excites us\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EWe value your proven ability to build and lead engineering teams through complex technical implementations. Your strong track record of hiring and developing technical talent in specialized domains will be essential as we grow our knowledge graph capabilities.\u003C/li\u003E\u003Cli\u003EWe are looking for deep expertise in graph data modeling and ontology design specifically for financial applications. Your hands-on experience with graph databases (Neo4j, TigerGraph, Amazon Neptune, etc.) and strong coding skills focused on developing graph-based applications and algorithms will drive our technical success.\u003C/li\u003E\u003Cli\u003EWe value interpersonal skills and a willingness to collaborate with stakeholders to achieve technical and business objectives.\u003C/li\u003E\u003Cli\u003EWe appreciate your demonstrated success in mentoring engineers and helping them grow into graph specialists.\u003C/li\u003E\u003Cli\u003EWe seek candidates with a methodical approach to solving complex data modeling and integration challenges. We value people who "elevate the room" through their work ethic, curiosity, and solution-oriented attitude, inspiring those around them to achieve more.\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EWhat’s required\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EProven experience leading technical teams and mentoring engineers to develop technical talent.\u003C/li\u003E\u003Cli\u003EStrong expertise in graph data modeling, ontology design, and semantic technologies.\u003C/li\u003E\u003Cli\u003EHands-on experience with at least one major graph database technology.\u003C/li\u003E\u003Cli\u003EAdvanced programming skills in Python or another high-level language.\u003C/li\u003E\u003Cli\u003EExperience with data integration from diverse sources into unified knowledge graphs.\u003C/li\u003E\u003Cli\u003ETrack record of successfully implementing change management for technical initiatives.\u003C/li\u003E\u003Cli\u003EDemonstrated ability to work effectively with challenging stakeholders.\u003C/li\u003E\u003Cli\u003EExperience hiring and building specialized technical teams.\u003C/li\u003E\u003Cli\u003ECommitment to the highest ethical standards.\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EWe take care of our people\u003C/h3\u003E\\n\u003Cp\u003EWe invest in our people, their careers, their health, and their well-being. When you work here, we provide:\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EFully-paid health care benefits\u003C/li\u003E\u003Cli\u003EGenerous parental and family leave policies\u003C/li\u003E\u003Cli\u003EVolunteer opportunities\u003C/li\u003E\u003Cli\u003ESupport for employee-led affinity groups representing women, people of color and the LGBT+ community\u003C/li\u003E\u003Cli\u003EMental and physical wellness programs\u003C/li\u003E\u003Cli\u003ETuition assistance\u003C/li\u003E\u003Cli\u003EA 401(k) savings program with an employer match and more\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cbr\u003E\u003C/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbout Point72\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003EPoint72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit \u003Ca href=\\\"https://point72.com/\\\" target=\\\"_blank\\\"\u003Ehttps://point72.com/\u003C/a\u003E. \u003C/p\u003E\u003Cbr\u003E\u003Cp\u003EThe annual base salary range for this role is $200,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.\u003C/p\u003E\u003Cbr\u003E\",\"Japanese_Job_Description_External__c\":\"\u003Cbr\u003E\u003Cbr\u003E\u003Cbr\u003E\",\"Transcript_Optional__c\":false,\"Other_Internal_Recruiter__c\":\"005Vo00000XyVVlIAN\",\"RecordTypeId\":\"012j0000000tcfoAAA\",\"Apply_Now_URL__c\":\"https://boards.greenhouse.io/point72/jobs/8701705002?gh_jid=8701705002\",\"Type__c\":\"Full Time\",\"LastModifiedDate\":\"2026-08-13T13:43:03.000+0000\",\"Company__r\":{\"attributes\":{\"type\":\"Account\",\"url\":\"/services/data/v67.0/sobjects/Account/0015b00001nlJvSAAU\"},\"Business__c\":\"Point72\",\"Name\":\"Point72\",\"Id\":\"0015b00001nlJvSAAU\",\"RecordTypeId\":\"012j0000000tIlgAAE\"},\"RecordType\":{\"attributes\":{\"type\":\"RecordType\",\"url\":\"/services/data/v67.0/sobjects/RecordType/012j0000000tcfoAAA\"},\"DeveloperName\":\"Investment_Services\",\"Name\":\"Investment Services\",\"Id\":\"012j0000000tcfoAAA\"}},\"friendlyJobName\":\"data-engineer-knowledge-graph\",\"formattedTeam\":\"Data Engineering\",\"formattedLocation\":\"New York\",\"formattedArea\":\"Research, Data & Analytics | Technology & Engineering\"}');
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