Staff Analytics Engineer, Compliance Data

Coinbase
United States
Remote

Who this role is best for

A natural match if you have experience building data platforms for compliance and regulatory reporting. This mid-level remote role in the USA emphasizes technical leadership, data modeling, and cross-team collaboration.

Best fit for

  • Candidates with a background in compliance data systems and technical leadership experience
    — “Own the systems, architecture, technical strategy, and roadmap for the Compliance Data
  • Professionals skilled in data modeling and validation frameworks for regulated environments
    — “data contracts, validation frameworks, monitoring, and reconciliation logic that catch issues before they propagate
  • Individuals with a history of influencing engineering practices across multiple teams
    — “influencing engineering practices beyond your immediate team

Things to consider

  • Quarterly in-person 'surges' may be required despite remote flexibility
    — “remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions
  • The role expects handling of high-stakes regulatory data with material consequences
    — “delivering accurate data for exams, audits, or filings where errors have material consequences

How to stand out

  • Highlight experience in designing durable data models for multiple downstream teams
    — “designing and owning systems and canonical or certified data models that serve multiple downstream teams
  • Showcase leadership in data quality automation and orchestration tools
    — “data quality automation, and orchestration frameworks (dbt, Airflow, or equivalent)
  • Emphasize track record in responding to time-sensitive regulatory requests
    — “lead the team's response to live regulatory exams, audits, and time-sensitive data requests
  • Demonstrate fluency in modern warehouse architecture like Snowflake or Databricks
    — “modern warehouse architecture (Snowflake, Databricks)
  • Include examples of mentoring and converting tribal knowledge into documented infrastructure
    — “mentoring other engineers and converting tribal knowledge into durable, documented infrastructure
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid Level

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • accurate regulatory reports
  • timely data delivery
  • high data quality
Typical background
data engineeringdata modelingdata validation

Skills & requirements

Required

Data ModelingData PipelinesData QualityData ValidationData CertificationSQLPythondbtAirflowSnowflakeDatabricks

Preferred

Regulatory ComplianceAI Integration

Stack & domain

SQLPythondbtAirflowData EngineeringData ModelingData QualityData Pipelines

About the role

Original posting from Coinbase

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.

We're hiring a Staff Analytics Engineer to lead the data foundations for the Compliance Data team within the Platform organization. This team owns the Compliance Reporting Data Platform, Coinbase's canonical source of truth for user, transaction, and compliance data, and every regulatory report at Coinbase depends on it. You'll define the technical direction for how compliance data is modeled, validated, and certified at scale, ensuring our foundations hold as products, entities, and regulatory requirements evolve, while also delivering accurate, timely data when regulators come calling.

What you'll do:

Own the systems, architecture, technical strategy, and roadmap for the Compliance Data, including the data models, pipelines, quality frameworks, and certification processes that the entire compliance reporting stack depends on.

Build production-grade solutions, in addition to data models and pipelines, covering user, transaction, and compliance data across retail and institutional product lines, designing for durability, auditability, and consumption by both analysts and AI agents.

Drive data quality at the source by establishing data contracts, validation frameworks, monitoring, and reconciliation logic that catch issues before they propagate to downstream reports or regulatory filings.

Partner with upstream engineering teams, Compliance leadership, and downstream consumers to close data gaps, absorb product changes proactively, and define the standards that make compliance data trustworthy and self-serve.

Lead the team's response to live regulatory exams, audits, and time-sensitive data requests, ensuring accuracy and timeliness under pressure while building repeatable processes that reduce future manual effort.

Shape engineering standards and technical culture across the Compliance Data team through architectural decisions, code reviews, mentorship, and converting tribal knowledge into durable, documented infrastructure.

Required Skills and Experience:

8+ years of experience in analytics engineering, data engineering, or data-intensive technical roles, with demonstrated technical leadership across teams or domains.

Expert-level SQL and Python proficiency applied to production pipeline development, complex transformations, data quality automation, and orchestration frameworks (dbt, Airflow, or equivalent).

Track record of designing and owning systems and canonical or certified data models that serve multiple downstream teams, with deep fluency in dimensional modeling, data contracts, and modern warehouse architecture (Snowflake, Databricks).

Proven ability to lead under regulatory pressure, including delivering accurate data for exams, audits, or filings where errors have material consequences.

History of driving technical direction and influencing engineering practices beyond your immediate team, including scoping complex projects, making independent architectural decisions, and mentoring other engineers.

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

Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). 

Annual base salary range (excluding equity and bonus):$207,485—$244,100 USD

Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.

Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.

US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.

Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.

Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.

Source: Coinbase careers

Similar roles