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Senior Analytics Engineer
Mercury
Remote · United States$13,883–17,358 gross/mofull-timeMercury Careers
We are hiring a Senior Analytics Engineer to help us accelerate. You’ll join a team of high-performing Data and Analytics Engineers building the shared foundations that power decisioning, automation, and measurement across the company, collaborating closely with Data Scientists and partners in Product, Engineering, and Operations.
Responsibilities
- Design and build scalable data pipelines and business-conformed dimensional data marts in collaboration with Data Science, Engineering, Product, and Operations departments
- Support the development and adoption of agentic tooling. We have our own AI Data Analyst (Hermes) and dbt Agent (Ralph) that are built and managed by our Analytics Engineers
- Support self-service analytics workflows, Analytics Engineering skills, and dimensional data principles through implementation, education, and peer support
- Help us implement the data and analytics products we’ll need to effect our bank charter
- Contribute to the evolution of our data quality, governance, and security strategies
- Contribute to our definition of Analytics Engineering standards and best practices
- You may be a good fit if you
- Have 4+ years of Analytics or Data Engineering experience
- Have expertise working in a full modern data stack including Fivetran / Airflow / Snowflake / dbt / Omni / Hex or equivalents
- Are proficient with SQL and have working experience with Python
Languages
- Work format
- Remote
- Seniority
- Senior
- Posted
- 5 Oct 2026
- Last verified
- In the last 5 days
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