Data Engineer

San Francisco, CA - USA

Monthly Salary: $ 130 - 500

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

About Mercor

Mercor is at the intersection of labor markets and AI research. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.

Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge experience and context that cant be captured in code alone. Today more than 30000 experts in our network collectively earn over $1.5 million a day.

Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious fast-paced and deeply committed team. Youll work alongside researchers operators and AI companies at the forefront of shaping the systems that are redefining society.

Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our new San Francisco headquarters.

About the Role

Were looking for someone who wants to bring a full-stack perspective to data. As a Software Engineer supporting our Data function you will be responsible for creating and maintaining pipelines that enable our Data Science Engineering and Product teams and the wider Mercor organization.

Your focus will be on data reliability availability and timeliness with a focus on collaboration (and significant operational crossover with) our Data Science team and the many partner functions.

What Youll Work On

Building robust pipelines to ingest transform and consolidate data from diverse sources (e.g. MongoDB Airtable PostHog production databases).
Designing dbt models and transformations to standardize and unify many disparate tables into clean production-ready schemas.
Implementing scalable fault-tolerant data workflows with Fivetran dbt SQL and Python.
Partnering with engineers data scientists and business stakeholders to ensure data availability accuracy and usability.
Owning data quality and reliability across the stack from ingestion through to consumption.
Continuously improving pipeline performance monitoring and scalability.

What Were Looking For

Proven experience in data engineering with strong knowledge of SQL Python and modern data stack tools (Fivetran dbt Snowflake or similar).
Experience building and maintaining large-scale ETL/ELT pipelines across heterogeneous sources (databases analytics platforms SaaS tools).
Strong understanding of data modeling schema design and transformation best practices.
Familiarity with data governance monitoring and quality assurance.
Comfort working cross-functionally with engineering product and operations teams.
Bonus: prior experience supporting machine learning workflows or analytics platforms.

Why Mercor

Impact: Your work powers how the worlds leading AI labs train and test their models.
Learning: Get early insights into frontier model capabilities months before the market.
Growth: Work on both infrastructure and research-adjacent projects with fast paths to ownership.

Benefits

Generous equity grant vested over 4 years
A $20K relocation bonus (if moving to the Bay Area)
A $10K housing bonus (if you live within 0.5 miles of our office)
A $1K monthly stipend for meals
Free Equinox membership
Health insurance

About MercorMercor is at the intersection of labor markets and AI research. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge ex...