Data Engineer

Навыки

• Airtable
• BI-инструменты
• Data Governance
• Data Quality
• dbt
• ETL / ELT
• Machine Learning

О компании и продукте

• Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
• Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll 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 San Francisco, NYC, or London offices.
• We’re 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.

Задачи

• 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

Требования

• 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 world’s 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

Условия

• Bi-annual performance bonus structure
• 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

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