Senior Analytics Engineer (Platform - Financial Analytics)

Coinbase

Remote

Quick summary

Work type
Remote
Location
Oakland, CA
Salary
$180,370–$212,200 / yr
Posted
3 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k
This role $196k
$135k most similar roles pay here $234k

This role pays more than 54% of similar roles. Most pay $144,950–$224,081 — the shaded band above. At the midpoint, this role pays about $196k versus about $185k 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 34 open roles on FindRole.

Listed pay typically runs $186,065–$218,900 across 29 roles with salary data.

Most-posted roles

View all roles at Coinbase

At a glance

TL;DR · Senior Analytics Engineer (Platform - Financial Analytics)

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As a Senior Analytics Engineer on the Platform team at Coinbase, you will design scalable data models and pipelines that support analytics, experimentation, and decision-making across the organization. Your responsibilities include owning end-to-end data solutions for specific business domains by transforming raw data into trusted sources using star/snowflake schemas, building and optimizing ETL/ELT pipelines with dbt and Airflow, and developing frameworks to enhance efficiency. You will collaborate closely with Engineering, Product, and Data Science teams to identify data gaps and deliver actionable insights through dashboards and visualizations in tools like Looker or Tableau. The role requires advanced SQL skills, intermediate-to-advanced Python proficiency, experience with modern data warehouse architectures such as Snowflake, and a track record of delivering measurable business impact. Additionally, familiarity with prompt engineering for LLMs is beneficial.

Skills

dbt Airflow Snowflake Python SQL Looker Tableau GitHub CI/CD OOP Databricks LLMs GPT UDFs

What you'll do

  • Own end-to-end data modeling for assigned business domains using star/snowflake schemas.
  • Build and optimize ETL/ELT pipelines with dbt and Airflow to ensure data quality and performance.
  • Develop scalable abstractions like UDFs and Python packages to enhance other data teams' efficiency.
  • Design and deliver dashboards using Looker or Tableau for clear, actionable insights for stakeholders.
  • Partner with Product, Engineering, and Data Science teams to identify and close data gaps.

What we're looking for

  • 5+ years of analytics or data engineering experience with expertise in dbt and Airflow.
  • Advanced SQL skills for complex transformations and query optimization.
  • Intermediate-to-advanced Python proficiency for scripting and automation.
  • Production experience with Snowflake or similar modern data warehouse architectures.
  • Track record of delivering measurable business impact through data solutions.
  • Ability to build domain expertise independently and communicate technical trade-offs effectively.
  • Experience in prompt engineering for LLMs like GPT.

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