Staff Analytics Engineer

Coinbase; Charlotte (NC); On-site; USD 207,000 - 244,000; Full time

Benefits offered by this job

Equity options

Bonus eligibility

Medical, dental, vision

Job summary

Coinbase, Inc. is seeking a Staff Analytics Engineer for Finance Analytics to set the technical direction of our financial data layer and partner with Accounting, Controllership and FP&A.

You will design curated, well-documented datasets in Snowflake/Databricks and own scalable pipelines with dbt and Airflow. You will lead cross-team initiatives, implement data quality and reconciliation frameworks, and mentor engineers to improve finance data efficiency.

Qualifications

• Expert SQL with window functions and complex aggregations.
• Strong Python (OOP, reusable frameworks).
• Experience with production ETL/ELT pipelines (dbt, Airflow).
• Modern data warehouse experience (Snowflake/Databricks).
• Staff-level leadership in multi-quarter initiatives.

Responsibilities

• Set technical direction for Coinbase's financial data layer.
• Partner with Accounting and FP&A to support month- and quarter-end close.
• Build and own datasets, reconciliations and reporting pipelines.
• Ensure SOX compliance, lineage, and audit readiness.
• Mentor Analytics Engineers and drive data contracts.

Skills

SQL

Python

Education

Accounting/Finance degree

CPA/CMA

Tools

dbt

Airflow

Snowflake

Databricks

Job description

Ready to do the most impactful work of your career? Athttps://www.coinbase.com/careers.

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)).

Annual base salary range (excluding equity and bonus):

$207,485-$244,100 USD