AI Data Engineer – ML Data Pipelines

🕒 July 27

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 64%

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📋 Description

• Design and build scalable data pipelines for ML workflows • Develop feature engineering and data preparation processes • Implement batch and real-time data ingestion systems • Ensure data quality, validation, and monitoring • Collaborate with ML engineers to support model training and deployment • Integrate pipelines with orchestration tools (Airflow or similar) • Optimize pipeline performance and cloud cost efficiency • Maintain documentation and version control of data workflows

🎯 Requirements

• 4+ years of experience in Data Engineering • Strong Python and SQL skills • Experience building data pipelines for ML or analytics systems • Hands-on experience with Spark, Databricks, or similar distributed processing frameworks • Experience with orchestration tools (Airflow or similar) • Experience in AWS, Azure, or GCP environments • Familiarity with data quality validation and monitoring frameworks • Understanding of feature engineering and model data lifecycle

🏖️ Benefits

• Remote work options

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