Data Engineering Jobs

Senior Data Steward responsible for leading data governance and quality practices across assigned domains. You will maintain metadata and glossary terms in Informatica, document end-to-end lineage, profile data to identify issues, and define/monitor data quality rules and KPIs. The role partners with Data Engineers, Risk, Compliance, and business owners to embed controls in pipelines, drive remediation, and support AI data readiness. Strong communication and cross-functional influence are required to create training and governance reporting for stakeholders.

Lead Data Engineering role at the Vice President level within Finance Technology, responsible for designing and delivering enterprise-scale data warehouses, reporting and analytics solutions. Drive adoption of GenAI/LLMs and modern AI/ML techniques to automate ETL, enrich data, and improve reporting and distribution while ensuring data governance, security and compliance. Provide technical leadership and mentorship to data engineering teams and collaborate with business and technology stakeholders to implement scalable, tested, and maintainable data capabilities.

This Associate-level Data Engineer will design, develop, and maintain scalable data pipelines, ETL processes, and cloud-based data platforms to support enterprise finance reporting and analytics. The role requires strong SQL, Snowflake (or similar), and Python skills to optimize data models, automate workflows, and ensure data quality and security. You will collaborate with business stakeholders, data scientists, and engineering teams to deliver high-quality data solutions and drive efficiency through automation and GenAI where applicable. Responsibilities also include performance tuning, documentation, and contributing to an agile, innovative finance technology team.

The Platform Implementation Systems Analyst will optimize and support SaaS platforms (e.g., Salesforce, Tableau) across Parametric's technology stack, driving operational efficiency, governance, and compliance. The role manages user requests, gathers reporting requirements, analyzes data from multiple sources, and supports ETL processes to maintain accurate data pipelines and workflows. Responsibilities include documenting system configurations and integrations, participating in Agile ceremonies, handling intake/triage of platform requests, and delivering internal reporting and insights. Preferred skills include advanced SQL, data visualization/reporting best practices, and familiarity with enterprise enablement tools like Seismic and Fusion.

We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure to support analytics and business decision-making. The role involves collaborating with data scientists, analysts and engineering teams to ingest, transform and model data, ensuring data quality and reliability. You will optimize ETL processes, implement best practices for data governance, and contribute to the evolution of the data platform.

Lead the design and delivery of centralized credit risk data products within a Databricks-based, cloud data mesh environment. Build and maintain ETL pipelines, materialized views, and unified consumption models while partnering with data product owners and downstream teams. Ensure data governance, quality controls, and documentation to provide a single version of truth for credit risk analytics and reporting.

Lead the product data strategy and governance for the Consumer Card business, ensuring high-quality, well-protected data to enable business operations, analytics, and advanced ML/AI initiatives. Coordinate sourcing and use of card data across domains (digital, rewards, operations) and partner closely with product, analytics, technology, risk and operations stakeholders. Define, document and prioritize critical product data, drive metadata and classification, and oversee data risk monitoring and compliance with firmwide policies. Provide leadership across workstreams, measure KPIs, and ensure successful delivery of data-related initiatives.

Senior enterprise architect role leading JP Morgan Chase's Data Management domain, shaping strategy, roadmaps, and technology adoption firmwide. You will operate architecture review boards, advise on tool selection and integration, and design scalable, secure data architectures including lakes, warehouses, and pipelines. The role requires influencing stakeholders across business and technology, evaluating emerging technologies, and ensuring compliance and operational stability. You will drive standards for data governance, metadata, integration patterns, and portfolio rationalization.

Join the Fusion Service Delivery Integrations Team to support data management client integrations, onboarding, and exception management within a cloud-native Fusion platform. You will gather and document requirements, analyse and improve processes, design and implement integration and automation solutions, and support project execution and change management. The role requires stakeholder management across clients, product and technology teams, producing data-driven reporting and continuous improvement initiatives. This position is hands-on with tools like SQL, Alteryx, Grafana, Tableau and Confluence, and supports migrations from legacy processes.

Join the Payments Instrumentation & Metrics team to turn complex data into actionable insights, build data pipelines, and design executive-level dashboards. You will own end-to-end analytics work including requirements gathering, data acquisition and transformation, reporting, automation, and presentations. The role requires close partnership with stakeholders, continuous iteration based on user feedback, and optimizing BI solutions for performance and clarity.