Data Engineer
Technologies
dbt · Fivetran · SQL · Python · Snowflake · MongoDB · Airtable · PostHog
About Mercor
Marketplace matching domain experts (doctors, lawyers, scientists, engineers) with AI labs to generate post-training data, evaluations, and reinforcement learning signal.
Series C
Job description
The full responsibilities and requirements are on the employer’s site.
Open application page ↗Source and classification
Internal deployment & tooling · Evidence for this classification:
valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices. About the Role 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. What You’ll 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,
More from the job description
About Mercor 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. About the Role 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 [... source excerpt omitted ...] and the many partner functions. What You’ll 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, moni
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