Data Engineer | Data pipelines/ETL/data architecture

AI systems are only as good as the pipelines behind them, and that’s where you come in.

We’re looking for hands-on, reliable data engineers who care about quality, automation, and scale. At AI Flow, we build modern pipelines for startups and mid-sized clients: from ingestion and cleaning to analytics, features, and ML readiness.

This is a pipeline-building role, not just maintaining existing systems.

Note: We’re growing our engineering pool for upcoming client work. Interviews are real, and paid work is real, but availability depends on client timelines. If you pass the bar, we’ll bring you in when the fit is right. Open to freelancers and employees. No agencies.

Ideal experience:

  • Python or Scala-based data pipelines
  • Airflow, Prefect, or Dagster
  • SQL (Postgres, BigQuery, Snowflake)
  • Experience working with cloud data (GCP, AWS, Azure)
  • Bonus: Spark, Databricks, Delta Lake, or dbt

Job Type: Freelance Full Time
Job Location: Remote

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