
Data Engineer (Full-Stack Data Products)
at TwentyAI
Posted an hour ago
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- Compensation
- Not specified
- City
- Country
- United States
Currency: Not specified
**Data Engineer (Full-Stack Data Products) - Champaign, IL** Build and scale data-driven products as a Data Engineer, joining a new, well-funded venture in Champaign, IL. This role demands full-stack expertise, from designing data pipelines to developing production applications and APIs. You'll maintain data quality, ensure system reliability, and deploy cloud-based infrastructure using Infrastructure as Code. Collaborate daily with data scientists, consultants, and clients. Requires 3-6 years of experience in software or data engineering, a strong degree in Computer Science or a quantitative field, and proficiency in Python, SQL, and handling large datasets.
Data Engineer (Full-Stack Data Products)
Joint Venture
Onsite in Champaign, IL
A newly launched venture backed by a major global management consultancy and a large alternative investment firm, built to bring together top data and engineering talent in the North East. Small, ambitious team building something from the ground up, with real scope to shape the culture as it grows.
What you'll do
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Build and maintain scalable data pipelines and platforms powering analytics and AI-driven products
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Develop and maintain production-grade applications and APIs
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Design data pipelines pulling from internal and external sources into shared platforms
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Write automated unit, integration and end-to-end tests
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Keep systems reliable and data quality high to support real decision-making
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Deploy cloud-native infrastructure using infrastructure-as-code
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Work closely with data scientists, consultants and clients day to day
What we're looking for
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3-6 years in a software or data engineering role
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A strong degree in Computer Science or a quantitative field
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Solid experience building data-intensive applications and pipelines
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Strong Python and SQL, comfortable with large volumes of data
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Experience with data-matching, reconciliation or entity resolution
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Some experience with distributed computing (e.g. Spark, Databricks), cloud platforms (AWS, Azure, GCP), orchestration tools, or modern DevOps practices
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Good understanding of distributed systems and software architecture
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Strong communicator, self-motivated and detail-oriented
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Bonus: interest in financial services, risk or consulting
Why join?
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Real impact from day one, working on diverse, high-profile projects
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Direct exposure to clients and industry experts across sectors
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Genuine ownership of technical products and projects
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Ground-floor opportunity to help shape the culture of a brand new team
