Data Engineer
Data Engineer
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USD 130000 - 500000
1 Vacancy
Job Description
About Mercor
Mercor is training models that predict how well someone will perform on a job better than a human can. We use our platform to source vet and onboard expert contractors who help train AI models in a wide variety of domains. Our technology is so effective its used by all of the top 5 AI labs.
We scaled from $1-500M in revenue run rate in the last 17 months making us the fastest growing company in the world. Our growth is accelerating. We averaged 11% week over week growth in July 18% WoW growth in August and 19% WoW growth in September. The team is small and we remain profitable because we cant hire great people as quickly as revenue is growing.
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
Employment Type
Full-Time
