Data Engineer - Remote

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.

You're a Great Fit If You

• 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.

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

Why This Role Is Exciting

Pay & Work Structure

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

Skills : sql,research,airflow,pandas,data engineering,data,panda,spark,datasets,python,ml,etl

Skills Required

Airflow, Csv, Postgresql, Json, Sql, Git, Pandas, Sqlite, Spark, Python