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Responsibilities:
- Design and build scalable data pipelines and business-conformed dimensional data marts.
- Support agentic tooling like Hermes and dbt Agent, plus self-service analytics workflows.
- Contribute to data quality, governance, and security strategies.
What We're Looking For:
- 4+ years of Analytics or Data Engineering experience with a modern data stack.
- Proficiency in SQL and Python, with experience in dimensional data modeling.
- Bias toward action, relentless empathy, and responsible experimentation.
Why Join Mercury:
- Help build an AI-native data platform powering decisioning and measurement.
- Work with a high-performing team of Data and Analytics Engineers.
- Competitive compensation, equity, and benefits in a diverse environment.
Mercury
Mercury is a fintech company building an AI-native data platform that enables reliable analytics and AI-powered products. They value diversity and belonging, with a high-performing data team and an inclusive culture.