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Senior Analytics Engineer

Mercury· Data
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Hybrid (Remote within Canada or United States)$166.6k - $208.3kPosted 2w ago

About the role

Analytics Engineer building scalable data pipelines and data products to power decisioning, automation, and measurement across Mercury’s AI-native data platform. Collaborates with Data Scientists, Product, Engineering, and Operations to enable reliable analytics and faster experimentation, with a focus on data quality, governance, and scalable dimensional data models.

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 (e.g., Hermes AI Data Analyst, Ralph dbt Agent)
  • Support self-service analytics workflows, Analytics Engineering skills, and dimensional data principles through implementation, education, and peer support
  • Help implement the data and analytics products needed to effect Mercury’s bank charter
  • Contribute to the evolution of data quality, governance, and security strategies
  • Contribute to the definition of Analytics Engineering standards and best practices

Qualifications

  • 4+ years of Analytics or Data Engineering experience
  • Expertise in a full modern data stack (Fivetran / Airflow / Snowflake / dbt / Omni / Hex or equivalents)
  • Proficiency in SQL and working experience with Python
  • Proficient using AI agents to accelerate work
  • Experience with dimensional data modeling principles and building data for scale
  • Treat data products as a platform with reusable, scalable deliverables
  • Readable code, strong tests, and quality documentation
  • Ability to experiment responsibly and share learnings
  • Stakeholder-centered collaboration across Data, Product, Engineering, and operations
  • Ability to discern essential needs from wants for maximum impact

Skills

Required:Analytics EngineeringSQLPythonModern data stackAI agentsDimensional data modelingCommunication
Nice to have:Data governance & security

Benefits

  • Total Rewards package includes base salary, equity (stock options/RSUs), and benefits
  • Competitive salary ranges aligned to location
  • Equity opportunities
  • Benefits (unspecified in detail)
Last updated Oct 7, 2026. Interested? Apply on the company site.
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