Analytics Engineer

The role

You will build data infrastructure, analytics, and automations to power decision-making and operations. You will work with business leaders to identify problems, define roadmaps, and deliver solutions end-to-end.

What you will do

• Partner with stakeholders to identify high-impact problems and execute solutions.
• Develop reliable data pipelines, models, and metrics using SQL, dbt, and Snowflake.
• Translate ambiguous business problems into production-ready data models, dashboards, and analytical tools.
• Identify operational bottlenecks and build automations to improve efficiency.
• Use AI coding agents and emerging tools to accelerate development.

Required qualifications

• 8+ years of experience in Analytics Engineering, Data Engineering, Data Science, or a related technical role.
• Expert SQL
• Data modeling
• Python
• dbt
• Cloud data warehouses
• BI tools (e.g., Hex, Looker)
• Ability to independently identify problems, define roadmaps, and deliver high-impact projects with minimal direction.
• Ability to work directly with senior stakeholders and translate ambiguity into actionable solutions.
• Ability to quickly master unfamiliar domains and technologies.
• Ability to leverage AI tools to increase productivity.
• Ability to deliver high-quality work at speed and thrive in demanding, fast-moving environments.

Benefits

• Generous equity grant vested over 4 years
• Up to $15k Relocation bonus
• $10K housing bonus (if you live within 0.5 miles of our office)
• $1.5K monthly stipend for meals
• Free Equinox membership
• $200 monthly laundry reimbursement
• $200 monthly personal wellness reimbursement
• Health, Dental, Vision insurance
• 401(k) with company match

About the company

Mercor builds infrastructure that enables frontier AI labs and enterprises to train, evaluate, and improve AI on real-world professional work. The company is profitable and recently raised a $750 million Series D at a $20 billion valuation.