Staff Analytics Engineer

Coinbase

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$207,485–$244,100 / yr
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $214k
This role $226k
$158k $275k
below market most similar roles pay here above market

This role pays more than 58% of similar roles. Most pay $186,675–$240,600 — the blue band above. At the midpoint, this role pays about $226k versus about $214k for comparable roles.

Based on 240 similar postings.

Employer

About Coinbase

Coinbase Global is a publicly traded cryptocurrency exchange platform where consumers can buy, sell, and store digital currencies including Bitcoin, Ethereum, and hundreds of other cryptocurrencies. Industry: Cryptocurrency Exchange & Financial Technology

Coinbase currently has 100 open roles on FindRole.

Listed pay typically runs $186,065–$218,900 across 91 roles with salary data.

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At a glance

TL;DR · Staff Analytics Engineer

The Staff Analytics Engineer joins the Finance Analytics team to establish the technical direction for the financial data layer. This role involves partnering with Accounting, Controllership, and FP&A to support month-end and quarter-end closes by building accurate, auditable datasets and reporting foundations. Key responsibilities include designing the architecture for source-of-truth financial datasets, building scalable batch and near-real-time pipelines, and defining data quality and reconciliation frameworks. The position requires managing SOX-compliant controls, lineage, and change management. Candidates must possess expert SQL and Python skills, along with experience in data modeling using star or snowflake schemas. Technical requirements include proficiency with dbt, Airflow, and modern data warehouses like Snowflake or Databricks. The work focuses on ensuring financial data is complete, reconciled, and traceable to the general ledger.

What you'll do

  • Build datasets and reconciliations to support accurate and timely month-end and quarter-end financial closes.
  • Ensure financial data and pipelines are audit-ready by implementing SOX-compliant controls and lineage.
  • Design and own the architecture for curated, source-of-truth financial datasets in Snowflake or Databricks.
  • Build and manage scalable batch and near-real-time data pipelines using Airflow and dbt.
  • Define and implement reusable data quality frameworks, including monitoring, alerting, and SLAs.
  • Drive data contracts with upstream engineering teams to ensure complete and traceable financial data.
  • Develop Python abstractions and tools to improve the efficiency of finance data users.
  • Set the technical direction for the financial data layer and mentor other Analytics Engineers.

What we're looking for

  • Have accounting exposure through a degree, coursework, certifications (CPA/CMA), or hands-on experience with accounting/FP&A teams.
  • Possess expert SQL skills including window functions, complex aggregations, and optimization.
  • Demonstrate strong Python skills including object-oriented programming and building reusable frameworks.
  • Have experience designing modular, reusable source-of-truth data models such as star or snowflake schemas.
  • Have built and owned production ETL/ELT pipelines using dbt, Airflow, or similar tools.
  • Possess experience with modern data warehouses or lakehouses such as Snowflake, Databricks, BigQuery, or Redshift.
  • Demonstrate Staff-level experience leading multi-quarter, cross-team technical initiatives and mentoring engineers.
  • Experience with Snowflake is not required.

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