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About the Role
Mercury is building an AI-native data platform to enable reliable analytics, accelerate product development, and power the next generation of AI-powered products and internal tools. The Senior Analytics Engineer will help accelerate this mission by building shared foundations that power decisioning, automation, and measurement across the company.
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, including 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
- Help implement the data and analytics products needed to effect our bank charter
- Contribute to the evolution of our data quality, governance, and security strategies
- Contribute to our definition of Analytics Engineering standards and best practices
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
- Proficient with SQL and have 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 by prioritizing reusable, scalable deliverables
- Deliver readable code, strong tests, and quality documentation
- Experiment responsibly and share learnings
- Practice relentless empathy by meeting stakeholders where they are and helping them succeed
- Discern what’s needed from what’s wanted to deliver maximum impact
Skills
- SQL
- Python
- AI agents
- Dimensional data modeling
- Data pipelines
- Data marts
- Modern data stack (Fivetran, Airflow, Snowflake, dbt, Omni, Hex)
- Agentic development
- Analytics workflows
- Data governance
- Data quality
- Data security
Location
- US (any location)
- Canada (any location)
Work Type
- Full-time
Experience Level
- Senior
Salary/Compensations
- US employees: $166,600—$208,300 USD
- Canadian employees: $157,400—$196,800 CAD
Benefits
- Base salary
- Equity (stock options/RSUs)
About the Company
- Mercury is a fintech company that aims to solve data challenges by building an AI-native data platform.
- Banking services provided through Choice Financial Group and Column N.A., Members FDIC.
Equal Opportunity
- Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer.
- All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic.
- We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs.