Real job — pulled straight from Coinbase’s careers page · Verified November 1, 2026 · No reposts.
Job description
Coinbase is hiring a Staff Analytics Engineer — a full-time, remote role ($207k–$244k). Apply directly on Coinbase's careers page below.
Staff Analytics Engineer
Location: Remote - USA
Department: Engineering - Data
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.
Finance Analytics builds Coinbase's financial data and reporting foundations so Finance, Accounting/Controllership, Treasury and FP&A can run accurate, timely and auditable operations. We sit at the intersection of data engineering, data science and business analytics: we own the source-of-truth financial datasets in Snowflake/Databricks, the pipelines that produce them, and the reconciliation, month-end close, safeguarding and reporting workflows built on top. We partner closely with Product Engineering to make sure upstream financial data is complete, reconciled and traceable.
What you'll be doing:
As the Staff Analytics Engineer on Finance Analytics, this person sets the technical direction for Coinbase's financial data layer and works side by side with Accounting, Controllership and FP&A. They need to understand how the books are closed, audited and controlled, not just how the data moves:
- Partner with Accounting and FP&A to support month-end and quarter-end close, building the datasets, reconciliations and reporting that let us close the books accurately and on time.
- Make financial data and pipelines audit-ready: SOX-compliant controls, lineage, change management and evidence for internal and external auditors.
- Design and own the architecture of curated, well-documented source-of-truth financial datasets in Snowflake/Databricks that are correct, consistent and tie out to the general ledger.
- Build and own scalable batch (and where needed, near-real-time) pipelines orchestrated with Airflow/dbt, including dependency management, backfills and runbooks.
- Define reusable data quality and reconciliation frameworks (tests, monitoring, alerting, SLAs) and agree with Accounting on what "done" means for financial correctness.
- Drive data contracts with upstream engineering teams, mentor Analytics Engineers, and build abstractions (Python packages, UDFs, LLM-assisted tools) that make finance data users more efficient.
What we look for in you:
- Accounting exposure, either formal (accounting/finance degree or coursework, CPA/CMA) or hands-on work with Accounting/FP&A teams, such as supporting month-end close, reconciliations or financial reporting.
- Expert SQL (window functions, complex aggregations, optimization) and strong Python (OOP, reusable frameworks). No production ETL or SQL experience = reject.
- Deep data modeling: designed modular, reusable source-of-truth models (star/snowflake schemas, SCDs) used by many teams.
- Built and owned production ETL/ELT pipelines with dbt, Airflow or similar, including testing, monitoring and SLAs.
- Modern data warehouse/lakehouse experience (Snowflake, Databricks, BigQuery, Redshift). Snowflake is not required; no comparable warehouse experience = reject.
- Staff-level scope: led multi-quarter, cross-team technical initiatives, set architecture/direction, mentored engineers.
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)).
- 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.
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Frequently asked questions
What is the salary for Staff Analytics Engineer at Coinbase?
The estimated salary range for Staff Analytics Engineer at Coinbase is $207,000 - $244,000 USD per year.
Is Staff Analytics Engineer at Coinbase a remote job?
Yes, Staff Analytics Engineer at Coinbase is a remote position. This role is open to remote candidates.
What skills are required for Staff Analytics Engineer at Coinbase?
The required skills for Staff Analytics Engineer at Coinbase include: SQL, Python, dbt, Airflow, Snowflake, Databricks, FP&A, ETL, LLM.
What is the seniority level for Staff Analytics Engineer at Coinbase?
Staff Analytics Engineer at Coinbase is a Staff level position.
How do I apply for Staff Analytics Engineer at Coinbase?
You can view the full description and apply for Staff Analytics Engineer at Coinbase on EchoJobs: https://echojobs.io/job/coinbase-staff-analytics-engineer-021ek.