Mercury
Senior Analytics Engineer
$167K–$208K
San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States +1 · Remote · Senior · Full-time · Posted Oct 5, 2026
- Location
- San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States
Any Office or Remote - Experience
- 4+ years of Analytics or Data Engineering experience.
About the job
Build and maintain shared data products and analytics foundations that support decision-making, experimentation, automation, and AI-powered tools across Mercury.
What you'll do
- Design scalable data pipelines and business-conformed dimensional data marts with cross-functional partners.
- Support adoption of agentic tools and self-service analytics workflows through implementation, education, and peer support.
- Contribute to data products, quality, governance, security, and Analytics Engineering standards.
What they ask for
- 4+ years of Analytics or Data Engineering experience.
- Expertise with a modern data stack, such as Fivetran / Airflow / Snowflake / dbt / Omni / Hex or equivalents.
- Proficient in SQL and working experience with Python.
- Proficient using AI agents to accelerate work; experience with dimensional modeling and building data for scale.
Nice to have
- Banking or financial services industry experience; experience with agentic development and/or analytics workflows.
- Exposure to data governance, compliance, and security best practice; full-stack mindset.
Pay
$166,600 — $208,300 USD (base salary); $157,400 — $196,800 CAD (base salary)
Tools
Fivetran, Airflow, Snowflake, dbt, Omni, Hex, SQL, Python
AI focus
Support development and adoption of agentic tooling, including Mercury’s AI Data Analyst (Hermes) and dbt Agent (Ralph), and use AI agents to accelerate work.
Model-written summary · the original posting is authoritative