Data Engineer - AI Pipelines
About the role
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
- 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.
Qualifications 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.
Compensation & Legal
- Weekly Bonus of $500–$1000 USD per 5 tasks.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- 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: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,
Data Engineer - AI Pipelines
About the role
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
- 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.
Qualifications 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.
Compensation & Legal
- Weekly Bonus of $500–$1000 USD per 5 tasks.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- 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: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,