Senior Analytics Engineer (AI)

Location: San Francisco, New York, Portland, or remote within Canada or the United States

Salary: US employees: $166,600–$208,300 USD; Canadian employees: $157,400–$196,800 CAD

Company

Mercury is a fintech company building an AI-native data platform for reliable analytics, product development, and AI-powered products and internal tools.

What you will do

• Design and build scalable data pipelines and business-conformed dimensional data marts.
• Develop and support agentic analytics tooling, including the Hermes AI Data Analyst and Ralph dbt Agent.
• Enable self-service analytics through implementation, education, and peer support.
• Build data and analytics products supporting Mercury’s bank charter initiatives.
• Improve data quality, governance, security, and Analytics Engineering standards.
• Collaborate with Data Science, Engineering, Product, Operations, and other stakeholders.

Requirements

• 4+ years of Analytics Engineering or Data Engineering experience.
• Experience with a modern data stack, including Fivetran, Airflow, Snowflake, dbt, Omni, Hex, or equivalent tools.
• Proficiency in SQL and working experience with Python.
• Experience using AI agents to accelerate individual and team workflows.
• Knowledge of dimensional data modeling and building scalable, reusable data products.
• Ability to write readable code, strong tests, and quality documentation.

Nice to have

• Banking or financial services industry experience.
• Experience with agentic development or analytics workflows.
• Exposure to data governance, compliance, and security practices.
• Full-stack mindset with flexibility across Data Engineering and Data Analysis.

Culture & Benefits

• Work with a high-performing Data and Analytics Engineering team.
• Collaborate across Data, Product, Engineering, Operations, and Data Science.
• Total rewards include base salary, equity, and benefits.
• Compensation is adjusted based on experience, expertise, geographic location, and internal pay equity.
• Mercury is committed to diversity, belonging, equal employment opportunity, and reasonable accommodations.