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The Data Engineer will manage data pipelines for financial institutions, translating raw transactions into insights while collaborating with various teams to enhance data models and tools.
What is Prizeout
Prizeout is a fast-growing fintech transforming how people interact with their money by turning everyday transactions into rewarding, value-driven moments. We sit at the intersection of payments, rewards, and loyalty, empowering financial institutions to build deeper connections with their users. Our platform analyzes rich transactional data to deliver personalized insights and maximize value with every purchase. The company was founded in 2019 and is headquartered in NYC.
Why Prizeout
At Prizeout, we’re redefining how people engage with their money through smarter, data-driven rewards. We’re looking for curious, analytical builders who love turning complex, messy data into meaningful insights that drive loyalty and better financial outcomes. We keep the user at the center of every decision and we value humility, curiosity, and ownership.
About This Role
As a Data Engineer at Prizeout, you’ll own the data that powers CashBack+ and our credit union rewards ecosystem. Managing the end-to-end lifecycle of financial institution data, you’ll ensure every transaction is accurate, every action is recognized, and every reward is delivered on time. Working with core banking systems, card networks, and digital event data, you’ll turn complex, messy inputs into clean, reliable signals that drive real-time insights and loyalty programs.
What You'll Do
- Own and manage the full lifecycle of credit union core and card data pipelines
- Build and maintain scalable pipelines that clean, standardize, enrich, and classify transactional and behavioral data
- Translate raw transactions into meaningful insights using classification models (direct deposits, ACH events, MCC logic, etc.)
- Develop and maintain automated validation and monitoring systems
- Create and manage high-quality dashboards and reporting tools for credit unions and internal teams
- Collaborate with Product, Data Science, Operations, and Integrations teams to refine data models and onboarding processes
- Continuously improve data models, infrastructure, and internal tools
- Stay current on fintech data architecture trends and emerging technologies to guide ongoing platform evolution
What We're Looking For
- 3+ years experience in software/data engineering, ideally in microservice or event-driven architecture
- Advanced SQL and database design skills
- Experience with cloud environments and distributed systems
- Experience with financial/transaction data pipelines or interest in learning deeply
- Familiarity with Snowflake or similar data warehouse tools (preferred)
- Bias for action and comfort working with ambiguity
- Ability to thrive in a fast-moving, collaborative, mission-driven team
- Clear communicator who brings clarity, not complexity
- Scrappy, resilient, and energized by building things that work in the real world at scale
- Preference for candidates located in New York or Boston
- Must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.
Please Note:
The expected salary range for this position is $150,000-$170,000, plus an equity component.
Prizeout is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Prizeout New York, New York, USA Office
Union Square offers some of the best restaurants, fitness studios, and outdoor space the city has to offer. In addition to that, there are various subway trains and it is a quick walk to Penn Station or train to Grand Central.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
