Staff Analytics Engineer, Compliance Data

Coinbase

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$207,485–$244,100 / yr
Posted
35 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $192k
This role $226k
$134k most similar roles pay here $256k

This role pays more than 69% of similar roles. Most pay $145,562–$238,250 — the shaded band above. At the midpoint, this role pays about $226k versus about $192k for comparable roles.

Based on 240 similar postings.

Employer

About Coinbase

Coinbase Global is a publicly traded cryptocurrency exchange platform where consumers can buy, sell, and store digital currencies including Bitcoin, Ethereum, and hundreds of other cryptocurrencies. Industry: Cryptocurrency Exchange & Financial Technology

Coinbase currently has 58 open roles on FindRole.

Listed pay typically runs $215,177–$253,150 across 50 roles with salary data.

Most-posted roles

View all roles at Coinbase

At a glance

TL;DR · Staff Analytics Engineer, Compliance Data

Staff Analytics Engineer, Compliance Data will lead data foundations for the Compliance Data team within the Platform organization. This role is responsible for the technical direction, architecture, and roadmap for compliance data models, pipelines, quality frameworks, and certification processes. The engineer will build production-grade solutions for user, transaction, and compliance data across retail and institutional product lines while ensuring durability and auditability for both analysts and AI agents. Key responsibilities include establishing data contracts, managing live regulatory exams, and mentoring others on engineering standards. Required skills include expert-level SQL and Python proficiency, experience with dbt or Airflow, and deep fluency in dimensional modeling and modern warehouse architecture like Snowflake or Databricks. The role addresses the critical challenge of providing a canonical source of truth for regulatory reporting and ensuring data integrity under high-pressure audit conditions.

What you'll do

  • Define the technical strategy, architecture, and roadmap for the Compliance Data platform's models and pipelines.
  • Build production-grade data models and pipelines for user, transaction, and compliance data across retail and institutional lines.
  • Establish data contracts, validation frameworks, and reconciliation logic to ensure high data quality at the source.
  • Partner with engineering teams and leadership to close data gaps and integrate product changes into the reporting stack.
  • Lead the team's response to live regulatory exams and audits by providing accurate, timely data under pressure.
  • Develop repeatable processes to automate manual efforts during regulatory filings and data requests.
  • Set engineering standards through architectural decisions, code reviews, and mentoring other engineers.

What we're looking for

  • 8+ years of experience in analytics engineering, data engineering, or data-intensive technical roles.
  • Demonstrated technical leadership across teams or domains.
  • Expert-level proficiency in SQL and Python for production pipelines and orchestration frameworks like dbt or Airflow.
  • Experience designing canonical data models using dimensional modeling, data contracts, and modern warehouse architecture like Snowflake or Databricks.
  • Proven ability to deliver accurate data under regulatory pressure for exams, audits, or filings.
  • History of influencing engineering practices, making architectural decisions, and mentoring other engineers.
  • Ability to use generative AI responsibly with human oversight to improve workflow efficiency and quality.

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