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CoinbaseCoinbaseUnited States

Staff Analytics Engineer, Compliance Data

Leads the architecture, modeling, pipelines, quality systems, and certification processes for a canonical compliance data platform. Requires 8+ years in analytics or data engineering, expert SQL and Python, modern warehouse expertise, and technical leadership under regulatory pressure.

207k – 244k/yr
Remote8+ YOEData Engineering

About the role

Responsibilities

  • Own the systems, architecture, technical strategy, and roadmap for Compliance Data, including data models, pipelines, quality frameworks, and certification processes.
  • Build production-grade solutions covering user, transaction, and compliance data across retail and institutional product lines, designed for durability, auditability, and consumption by analysts and AI agents.
  • Establish data contracts, validation frameworks, monitoring, and reconciliation logic to catch issues before they reach downstream reports or regulatory filings.
  • Partner with upstream engineering teams, Compliance leadership, and downstream consumers to close data gaps, absorb product changes, and define standards for trustworthy, self-service compliance data.
  • Lead responses to regulatory exams, audits, and time-sensitive data requests while developing repeatable processes that reduce manual effort.
  • Shape engineering standards and technical culture through architectural decisions, code reviews, mentorship, and documentation.

Requirements

  • 8+ years of experience in analytics engineering, data engineering, or data-intensive technical roles, with technical leadership across teams or domains.
  • Expert-level SQL and Python proficiency for production pipeline development, complex transformations, data quality automation, and orchestration.
  • Experience with dbt, Airflow, or equivalent orchestration frameworks.
  • Experience designing and owning canonical or certified data models serving multiple downstream teams.
  • Deep fluency in dimensional modeling, data contracts, and modern warehouse architecture.
  • Experience with Snowflake or Databricks.
  • Ability to lead under regulatory pressure, including delivering accurate data for exams, audits, or filings.
  • History of driving technical direction, influencing engineering practices, scoping complex projects, making architectural decisions, and mentoring engineers.
  • Responsible use of generative AI with human oversight.

Compensation and Benefits

  • Annual base salary: $207,485–$244,100 USD.
  • Total compensation may include equity and bonus eligibility.
  • Benefits include medical, dental, vision, and 401(k).

Skills

SQLPythondbtapache airflowSnowflakeDatabricksdimensional modelingdata contractsData QualityData PipelinesData WarehousingGenerative AI
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