Data Engineer

Mercor is hiring a Data Engineer on behalf of a leading AI lab. In this role, you’ll

• design resilient ETL / ELT pipelines and data contracts
• to ensure datasets are analytics- and ML-ready. You’ll validate, enrich, and serve data with strong schema and versioning discipline, building the backbone that powers AI research and production systems. This position is ideal for candidates who love working with data pipelines, distributed processing, and ensuring data quality at scale.
• ###
• You’re a great fit if you :
• Have a background in
• computer science, data engineering, or information systems
• . - Are proficient in
• Python, pandas, and SQL
• . - Have hands-on experience with
• databases
• like PostgreSQL or SQLite. - Understand distributed data processing with
• Spark or DuckDB
• . - Are experienced in orchestrating workflows with
• Airflow
• or similar tools. - Work comfortably with common formats like
• JSON, CSV, and Parquet
• . - Care about
• schema design, data contracts, and version control
• with Git. - Are passionate about building pipelines that enable
• reliable analytics and ML workflows
• ###
• Primary Goal of This Role
• To design, validate, and maintain scalable ETL / ELT pipelines and data contracts that produce clean, reliable, and reproducible datasets for analytics and machine learning systems.
• ###
• What You’ll Do
• Build and maintain
• ETL / ELT pipelines
• with a focus on scalability and resilience. - Validate and enrich datasets to ensure they’re
• analytics- and ML-ready
• . - Manage
• schemas, versioning, and data contracts
• to maintain consistency. - Work with
• PostgreSQL / SQLite, Spark / Duck DB, and Airflow
• to manage workflows. - Optimize pipelines for performance and reliability using
• Python and pandas
• . - Collaborate with researchers and engineers to ensure data pipelines align with product and research needs.
• ###
• Why This Role Is Exciting
• You’ll create the
• data backbone
• that powers cutting-edge AI research and applications. - You’ll work with modern
• data infrastructure and orchestration tools
• . - You’ll ensure
• reproducibility and reliability
• in high-stakes data workflows. - You’ll operate at the
• intersection of data engineering, AI, and scalable systems
• ###
• Pay & Work Structure
• You’ll be classified as an hourly contractor to Mercor. - Paid weekly via Stripe Connect, based on hours logged. - Part-time (20–30 hrs / week) with flexible hours—work from anywhere, on your schedule. - Weekly Bonus of
• $500–$1000 USD
• per 5 tasks. - Remote and flexible working style.