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Data Engineer at Mercor. Location Information: India. This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.. Role Description. This role involves designing 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.. 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. . Qualifications. 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. . Requirements. 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. . Benefits. 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.