Staff Analytics Engineer, Compliance Data

Unchain Data; United States; Hybrid; USD 207,000 - 244,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k)

Job summary

Coinbase is hiring a Staff Analytics Engineer to lead the data foundations for the Compliance Data team in the Platform organization. You will define technical direction for compliance data modeling, validation, and certification at scale, ensuring data foundations hold as regulations evolve and audits occur.

You will own data models, pipelines, data quality, and certification processes, collaborating with upstream engineering, Compliance leadership, and downstream users to deliver trustworthy,

Qualifications

• 8+ years in analytics engineering, data engineering, or data-intensive roles with leadership experience.
• Expert SQL and Python for production pipelines, data quality automation, and orchestration frameworks.

Responsibilities

• Own systems, architecture, strategy, and roadmap for the Compliance Data stack.
• Build production-grade data models and pipelines for user, transaction, and compliance data.

Skills

SQL

Python

dbt

Airflow

Data modeling

Data contracts

Leadership

Tools

Snowflake

Databricks

Job description

About Us

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\".

The Role

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.

Responsibilities

• 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.

Requirements

• 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.

Compensation

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

Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).