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…
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…
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…
Make financial data and pipelines audit-ready: SOX-compliant controls, lineage, change management and evidence for internal and external auditors.
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.
Experience: Senior-level
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