Data engineering jobs at Coinbase.

CO

Coinbase · coinbase.com · checked today

Staff Analytics Engineer

Skills, with evidence

• Airflow / orchestration
  Built and owned production ETL/ELT pipelines with dbt, Airflow or similar, including testing, monitoring and SLAs.must havewrong?
• Data modelling
  Deep data modeling: designed modular, reusable source-of-truth models (star/snowflake schemas, SCDs) used by many teams.must havewrong?
• Python
  Expert SQL (window functions, complex aggregations, optimization) and strong Python (OOP, reusable frameworks). No production ETL or SQL experience = reject.must havewrong?
• SQL
  Expert SQL (window functions, complex aggregations, optimization) and strong Python (OOP, reusable frameworks). No production ETL or SQL experience = reject.must havewrong?
• Warehousing
  Modern data warehouse/lakehouse experience (Snowflake, Databricks, BigQuery, Redshift). Snowflake is not required; no comparable warehouse experience = reject.must havewrong?
• dbt
  Built and owned production ETL/ELT pipelines with dbt, Airflow or similar, including testing, monitoring and SLAs.must havewrong?
• Data quality
  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.wrong?
• Failure handling
  Define reusable data quality and reconciliation frameworks (tests, monitoring, alerting, SLAs) and agree with Accounting on what "done" means for financial correctness.wrong?
• Idempotency & backfills
  Build and own scalable batch (and where needed, near-real-time) pipelines orchestrated with Airflow/dbt, including dependency management, backfills and runbooks.wrong?
• Schema evolution & contracts
  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.wrong?
• Spark
  Modern data warehouse/lakehouse experience (Snowflake, Databricks, BigQuery, Redshift).wrong?
• GCP
  Modern data warehouse/lakehouse experience (Snowflake, Databricks, BigQuery, Redshift).not practised herewrong?
• Governance & security
  Make financial data and pipelines audit-ready: SOX-compliant controls, lineage, change management and evidence for internal and external auditors.not practised herewrong?