Role in brief
Coinbase is looking for a Staff Analytics Engineer to lead the financial data technical direction. This role is ideal for someone with strong SQL and Python skills, as well as experience in data modeling and ETL processes.
About the role
In this role, you will set the technical direction for Coinbase's financial data layer and ensure its accuracy and compliance. You will collaborate with teams like Accounting and FP&A during month-end and quarter-end close processes, making sure that financial data and pipelines are ready for audits.
You will design and own the architecture of financial datasets using tools like Snowflake or Databricks and build scalable data pipelines. Success in this position involves driving data quality, establishing reconciliation frameworks, and mentoring other Analytics Engineers while managing data contracts with upstream engineering teams.
The salary range for this position is between $75K and $125K, with potential additional compensation in the form of equity and bonuses.
Skills that matter here
- Analytics Engineering: This role requires leading the technical direction of financial data.
- Data Modeling: Deep data modeling experience is essential for designing financial datasets.
- Python: Strong Python skills are necessary for building data pipelines.
- SQL: Expert SQL knowledge is critical for ensuring data accuracy and compliance.
- Data Warehousing: Experience with modern data warehouses like Snowflake is required.
- Cross-functional Collaboration: You will work closely with various teams to ensure financial data integrity.
Who this role suits
- You have a strong background in analytics engineering or data science.
- You thrive in remote-first environments and enjoy collaborating across teams.
- You have experience leading technical initiatives and mentoring others.
- You are detail-oriented and prioritize data integrity and compliance.
From the employer
- Set the technical direction for Coinbase's financial data layer.
- Partner with Accounting and FP&A for month-end and quarter-end close.
- Ensure financial data and pipelines are audit-ready.
- Design and own the architecture of financial datasets in Snowflake/Databricks.
- Build scalable batch and near-real-time pipelines.
- Define data quality and reconciliation frameworks.
- Drive data contracts with upstream engineering teams and mentor Analytics Engineers.
- Accounting exposure (degree or hands-on experience).
- Expert SQL and strong Python skills.
- Deep data modeling experience.
- Built production ETL/ELT pipelines with dbt, Airflow, or similar.
- Experience with modern data warehouses/lakehouses (Snowflake, Databricks, etc.).
- Staff-level scope with leadership in technical initiatives.
- Base salary range: $75K-$125K.
- Total compensation may include equity and bonuses.
- Medical, dental, vision, and 401(k) benefits.
- Remote-first work environment with quarterly in-person sessions.
Questions about this role
Is this position remote?
Yes, the role is fully remote with quarterly in-person sessions.
What is the seniority level for this role?
This is a senior-level position.
What skills are required for the role?
Key skills include Analytics Engineering, SQL, Python, data modeling, and experience with data warehousing.
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