Analytics Engineer
You will build and maintain the production grade data foundations that every regulatory obligation relies on. You will own the full lifecycle of data models and pipelines that downstream reporting, analytics, and AI workflows build on while delivering accurate, timely data when regulators come calling.
Responsibilities
- Own end to end development of production grade data models and pipelines for the Compliance Data Mart across user, transaction, and compliance data from architecture through deployment and maintenance
- Build data quality checks, data contracts, validation logic, and monitoring to protect data integrity before issues propagate to downstream reports or workflows
- Partner with upstream engineering teams to fix data gaps and absorb product changes at the source
- Support live regulatory exams, audits, and regulator requests with accurate, timely data
- Automate recurring manual workflows into scalable pipelines and self serve tooling
Requirements
- 2+ years of experience building and maintaining production data pipelines and data models, with strong proficiency in SQL, Python, dbt, and a modern warehouse platform (Snowflake, Databricks, or similar)
- Track record implementing data quality frameworks including data contracts, validation logic, reconciliation, and monitoring to catch issues before they reach downstream reports
- Experience supporting time sensitive, high stakes data needs (regulatory exams, audits, or financial reporting) where accuracy and timeliness are non negotiable
- Demonstrated ability to turn tribal knowledge and recurring manual workflows into durable, documented infrastructure
- Uses generative AI responsibly with human oversight to deliver business ready outputs and drive measurable improvements in workflow efficiency cost and quality
Benefits
- Equity and bonus eligibility
- Medical dental and vision insurance
- 401(k) retirement plan
- Remote first work arrangement with quarterly in person sessions