Mercury is hiring a remote Senior Analytics Engineer!
Mercury, a fintech platform serving startups and small businesses, is hiring a Senior Analytics Engineer for its fully remote team. The role sits within a group of Data and Analytics Engineers who maintain the shared data foundations behind company-wide decisioning, automation, and measurement. It is a build-heavy, platform-minded position: the team owns an AI-native data platform along with in-house agentic tools — an AI data analyst and a dbt agent — that other teams rely on for self-service access to trustworthy data. The engineer partners closely with Data Scientists plus counterparts in Product, Engineering, and Operations, and also contributes to the data work needed to support the company's bank charter. Mercury emphasizes reusable, scalable data products, strong documentation and testing, and a culture of sharing what works.
Key responsibilities
- Design and build scalable pipelines and business-conformed dimensional marts with cross-functional partners
- Support development and adoption of agentic tooling, including the team's AI data analyst and dbt agent
- Enable self-service analytics through implementation, education, and peer coaching
- Deliver the data and analytics products required to support the bank charter
- Contribute to data quality, governance, and security strategy
- Help define Analytics Engineering standards and best practices
Key requirements
- 4+ years in analytics or data engineering
- Hands-on experience with a modern stack such as Fivetran, Airflow, Snowflake, dbt, Omni, or Hex
- Strong SQL plus working Python
- Comfort using AI agents to speed up your own and teammates' work
- Grasp of dimensional modeling and building data for scale
- Platform mindset favoring reusable, scalable deliverables
- Readable code, solid tests, quality documentation
- Stakeholder empathy across Data, Product, and Engineering
- Bonus: banking or financial services background, agentic analytics experience, governance and compliance exposure, full-stack willingness to flex into data engineering and analysis
- Seniority: Senior
- Work mode: Remote
- Salary: $157,400 - $196,800 CAD (Canadian employees, any location); $166,600 - $208,300 USD (US employees, any location)
- Key skills: SQL, Python, dbt, Snowflake, Airflow, Fivetran, Omni, Hex, Dimensional data modeling, Data pipelines, Data governance, AI agents
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