Remote

ML Data Engineer

Engineeringfull timemid level$75k-$120k
AI ScreenedRemote B2BEU Talent Pool1 applicants
For hiring agencies & HR teams

EU engineers, ready to place with your US clients

Pre-screened on AI. Remote B2B contracts. View 5 full profiles free — AI score, skills report, interview questions included.

About This Role

We're seeking an ML Data Engineer to build and maintain scalable data pipelines powering our AI-first recruiting platform. You'll design ETL systems, optimize data workflows, and collaborate with ML engineers to enable real-time talent matching and predictive analytics. This is a hands-on role where you'll own data infrastructure from ingestion through model serving.

Requirements

  • Build and optimize ETL/ELT pipelines in production environments
  • Write efficient SQL and Python for large-scale data processing
  • Design feature stores or data schemas for ML model training
  • Work with cloud data platforms (Snowflake, BigQuery, or Redshift)
  • Implement data validation, quality checks, and monitoring
  • Collaborate with ML engineers to understand data requirements

Required Skills

PythonSQLApache SparkData PipelinesETL/ELTCloud Data WarehousesMachine LearningFeature Engineering