About the company
Mercury is building an AI-native data platform that enables reliable analytics, accelerates product development, and enables the next generation of AI-powered products and internal tools. You'll join a team of high-performing Data and Analytics Engineers 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
- Support the development and adoption of agentic tooling (AI Data Analyst Hermes and dbt Agent Ralph)
- Support self-service analytics workflows, Analytics Engineering skills, and dimensional data principles
- Help implement the data and analytics products needed to effect the bank charter
- Contribute to the evolution of data quality, governance, and security strategies
- Contribute to the 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 working experience with Python
- Proficient using AI agents to accelerate work
- Experience with dimensional data modeling principles and building data for scale
- Deliver readable code, strong tests, and quality documentation
Conditions
- Total rewards package includes base salary, equity (stock options/RSUs), and benefits
- Target new hire base salary range for US employees (any location): $166,600 - $208,300 USD
- Canadian employees (any location): $157,400 - $196,800 CAD