Data Engineer

• 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

• 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.