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.

Data Engineer

Key skills