Analytics Engineer

Coinbase

Hybrid

Quick summary

Work type
Hybrid
Location
LuxembourgOakland, CA
Posted
3 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $162k
$118k most similar roles pay here $207k

This listing doesn't post a salary. Most similar roles pay $126,800–$198,000.

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 34 open roles on FindRole.

Listed pay typically runs $186,065–$218,900 across 29 roles with salary data.

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At a glance

TL;DR · Analytics Engineer

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As an Analytics Engineer on Coinbase's Compliance Data team within the Platform organization, you will design, build, and maintain production-grade data models and pipelines for user, transaction, and compliance data across retail and institutional products. Your daily tasks include creating robust data quality checks, validation logic, and monitoring to ensure data integrity before it reaches regulatory reports or downstream workflows. You’ll collaborate with engineering teams to address data gaps and support live regulatory exams and audits, balancing reactive work with long-term foundational projects. Additionally, you will automate manual workflows into scalable pipelines using SQL, Python, dbt, Airflow, Snowflake, and Databricks, while also performing on-call duties and maintaining technical documentation. This role requires 2+ years of experience in data engineering, a strong understanding of data modeling patterns, and the ability to handle high-stakes data needs under pressure.

Skills

SQL Python dbt Airflow Snowflake Databricks Star/Snowflake schemas OBTs SCDs Data quality frameworks CI/CD Monitoring Terraform Kubernetes Prometheus Grafana

What you'll do

  • Design, build, and maintain production-grade data models and pipelines for user, transaction, and compliance data.
  • Implement data quality checks, contracts, validation logic, and monitoring to ensure data integrity.
  • Partner with engineering teams to fix data gaps and absorb product changes at the source level.
  • Support live regulatory exams, audits, and ad hoc regulator requests with accurate, timely data.
  • Automate recurring manual workflows into scalable pipelines and self-serve tooling for downstream use.

What we're looking for

  • 2+ years of experience in building and maintaining production data pipelines.
  • Proficient in SQL, Python, dbt, Airflow, and modern warehouse architecture.
  • Experience with data modeling patterns like star/snowflake schemas and SCDs.
  • Track record implementing data quality frameworks including validation logic.
  • Ability to support high-stakes data needs during regulatory exams and audits.

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