Senior Analytics Engineer

Posted 3 hours ago

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About the role

  • Senior Analytics Engineer building scalable data pipelines and AI-native analytics foundations at Mercury, a fintech company. Supporting agentic tooling, self-service analytics, governance, and data products.

Responsibilities

  • Design and build scalable data pipelines and business-conformed dimensional data marts with Data Science, Engineering, Product, and Operations
  • Support development and adoption of agentic tooling, including Mercury’s AI Data Analyst (Hermes) and dbt Agent (Ralph)
  • Support self-service analytics workflows, Analytics Engineering skills, and dimensional data principles through implementation, education, and peer support
  • Implement data and analytics products needed to effect Mercury’s bank charter
  • Contribute to data quality, governance, and security strategies
  • Contribute to Analytics Engineering standards and best practices
  • Build shared data foundations powering decisioning, automation, and measurement across Mercury
  • Enable durable data products, faster experimentation, propensity models, agentic workflows, and data-driven customer experiences

Requirements

  • 4+ years of Analytics or Data Engineering experience
  • Expertise working in a full modern data stack including Fivetran, Airflow, Snowflake, dbt, Omni, Hex, or equivalents
  • Proficiency with SQL
  • Working experience with Python
  • Proficiency using AI agents to accelerate work
  • Experience with dimensional data modeling principles and building data for scale
  • Ability to prioritize reusable, scalable deliverables
  • Ability to deliver readable code, strong tests, and quality documentation
  • Banking or financial services industry experience may be an additional qualification
  • Experience with agentic development and/or analytics workflows may be an additional qualification
  • Exposure to data governance, compliance, and security best practices may be an additional qualification
  • Full-stack mindset and willingness to solve problems end-to-end may be an additional qualification

Benefits

  • Base salary
  • Equity (stock options/RSUs)
  • Benefits
  • Reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs

Job type

Full Time

Experience level

Senior

Salary

$166,600 - $208,300 per year

Degree requirement

No Education Requirement

Tech skills

AirflowPythonSQL

Location requirements

RemoteUnited States

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