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# Senior Analytics Engineer (Platform - Financial Analytics)

- **Company:** Coinbase, Inc.
- **Location:** Concord, NH, United States
- **Experience:** Expert
- **Salary:** $180,370.0 - $212,200.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Data Analysis, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Github, Python (Programming Language), Object-Oriented Software Development, Performance Tuning, Query Optimization, Raw Data, Data Streaming, Tableau (Software), Sql Optimization, Large Language Models, Snowflake, Prompt Engineering, Looker Analytics, GPT, Data Pipelines, Databricks
- **Published:** August 11, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3349883536&tx=JT10193UTI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 5+ years in analytics engineering or data engineering with demonstrated expertise in designing modular data models and building production ETL/ELT pipelines using dbt, Airflow, or similar.
 * Advanced SQL proficiency for complex transformations and query optimization, plus intermediate-to-advanced Python for scripting, automation, and building scalable frameworks (OOP experience preferred).
 * Production experience with modern data warehouse architectures (Snowflake, Databricks) including performance tuning, data quality monitoring, and version-controlled development workflows (GitHub, CI/CD).
 * Proven track record delivering data solutions that generated measurable business impact, with the ability to independently build domain expertise and communicate technical trade-offs to Product, Engineering, and business stakeholders.
 * Experience with prompt engineering for LLMs (e.g., GPT), including designing and optimizing prompts for internal tooling and automation use cases.
 * Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

## Description

As a Senior Analytics Engineer on the https://www.coinbase.com/careers/product-groups team, you'll build the scalable data models and pipelines that power analytics, experimentation, and decision-making across Coinbase. Our Analytics Engineering team transforms raw data into trusted, well-modeled sources that stakeholders across Product, Engineering, and Data Science rely on daily. You'll own end-to-end data solutions for specific business domains, turning complex data flows into clean, reusable frameworks that unlock commercial value at scale.

What you'll do:

 * Own end-to-end data modeling for assigned business domains, from understanding source system data flows through designing modular, reusable models (star/snowflake schemas) that serve as the single source of truth for downstream teams.
 * Build and optimize ETL/ELT pipelines using modern tools like dbt and Airflow, ensuring data quality, reliability, and performance at scale across Snowflake or similar warehouse architectures.
 * Partner with Engineering, Product, and Data Science teams to identify data gaps, define requirements, and deliver data products that directly enable experimentation, ad hoc analysis, and business metric optimization.
 * Develop scalable abstractions and frameworks (UDFs, Python packages, internal data apps) that multiply the efficiency of other data teams and reduce time-to-insight across the organization.
 * Design and deliver dashboards and visualization layers using tools like Looker or Tableau, translating complex data into clear, actionable views for cross-functional stakeholders.


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