Crossing Hurdles is a referral partner. We connect & refer top candidates to Mercor that working with the world’s leading AI research labs to help build and train cutting-edge AI models.

Organization: Mercor

Position: Data Engineer

Referral Partner: Crossing Hurdles

Type: Full-time Position

Compensation: $20,000–$100,000/year

Location: Remote

Duration: Permanent

Role Responsibilities (Training support will be provided)

1. Build robust data pipelines to ingest, transform, and consolidate data from diverse sources including MongoDB, Airtable, PostHog, and production databases
2. Design dbt models and transformations to unify disparate data tables into clean, production-ready schemas
3. Implement scalable, fault-tolerant workflows using Fivetran, dbt, SQL, and Python
4. Collaborate with engineers, data scientists, and business stakeholders to ensure data availability, accuracy, and usability
5. Own data quality and reliability across the entire data stack from ingestion to consumption
6. Continuously improve pipeline performance, monitoring, and scalability

Requirements

1. Proven experience in data engineering with strong proficiency in SQL and Python
2. Experience using modern data stack tools like Fivetran, dbt, Snowflake, or similar platforms
3. Skilled in building and maintaining large-scale ETL/ELT pipelines across heterogeneous data sources and platforms
4. Strong understanding of data modeling, schema design, and transformation best practices
5. Familiarity with data governance, monitoring, and quality assurance tools and processes
6. Ability to work effectively across engineering, product, and operations teams
7. Bonus: prior experience supporting machine learning workflows or analytics platforms
8. Access to a desktop or laptop computer (Chromebooks are not supported)

Application Process (15 min)

1. Upload resume
2. Participate in AI interview (10 min)
3. Submit form

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