Data Engineer - AI Pipelines
MercorNetherlands1 day ago
Part-timeRemote FriendlyEngineering
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About The Job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Data Engineer
Type: Contract
Compensation: $14/hour
Location: Remote
Role Responsibilities
Must-Have
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Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Data Engineer
Type: Contract
Compensation: $14/hour
Location: Remote
Role Responsibilities
- Design resilient ETL/ELT pipelines and data contracts to ensure datasets are analytics- and ML-ready.
- Validate, enrich, and serve data with strong schema and versioning discipline.
- Manage schemas, versioning, and data contracts to maintain consistency.
- Work with PostgreSQL/SQLite, Spark/DuckDB, 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.
Must-Have
- Background in computer science, data engineering, or information systems.
- Proficient in Python, pandas, and SQL.
- Experience with databases like PostgreSQL or SQLite.
- Understanding of distributed data processing with Spark or DuckDB.
- Experience in orchestrating workflows with Airflow or similar tools.
- Comfortable with formats like JSON, CSV, and Parquet.
- Care about schema design, data contracts, and version control with Git.
- Weekly Bonus of $500–$1000 USD per 5 tasks.
- Upload resume
- AI interview based on your resume
- Submit form
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: [email protected]
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