Analytics Engineer - Compliance Data

Stack

Responsibilities

• ▹Own end-to-end development of production-grade data models and pipelines at the core of the CDM, covering user, transaction, and compliance data across retail and institutional product lines, from architecture through deployment and maintenance
• ▹Build data quality checks, data contracts, validation logic, and monitoring that protect data integrity before issues propagate downstream
• ▹Partner with upstream engineering teams to fix data gaps and absorb product changes at the source, taking accountability for data issues anywhere in the stack
• ▹Support live regulatory exams, audits, and ad hoc regulator requests with accurate, timely data, balancing reactive work with long-term foundational projects
• ▹Automate recurring manual workflows into scalable pipelines and self-serve tooling, enabling downstream teams and AI agents to answer their own questions

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
• ▹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
• ▹Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality

Soft skills

What we offer

• ▹Annual base salary range (excluding equity and bonus): $152,405 - $179,300 USD
• ▹Total compensation may include equity and bonus eligibility
• ▹Benefits: medical, dental, vision, 401(k)