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. ,