Data Engineer

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. Qualifications Background in computer science, data engineering, or information systems Proficiency in Python, pandas, and SQL Hands‑on experience with databases like PostgreSQL or SQLite Understanding of distributed data processing with Spark or Duck DB Experience orchestrating workflows with Airflow or similar tools Comfortable with common data formats such as JSON, CSV, and Parquet Passion for schema design, data contracts, and version control with Git Drive to build 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 Paid weekly via Stripe Connect, based on hours logged Part‑time (20–30 hour/week) with flexible hours—work from anywhere, on your schedule Weekly bonus of $500–$1000 USD per 5 tasks #J-18808-Ljbffr