AI Data Engineer - Saint Paul - Empowers Staffing Inc.

    Empowers Staffing Inc.
    Empowers Staffing Inc. Saint Paul

    1 day ago

    $95,000 - $165,000 (USD) per year *
    Description
    This is a remote position.
    We are seeking an AI Data Engineer to design and build production-grade data pipelines that power machine learning systems. This role focuses on creating scalable ingestion, transformation, and feature engineering workflows that support model training, evaluation, and real-time inference.

    You will work closely with Data Scientists, Machine Learning Engineers, and Platform teams to ensure high-quality, reliable, and efficient data flows across cloud environments. The ideal candidate understands both traditional data engineering and the unique data needs of ML systems.

    Key Responsibilities:



    • 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

    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



    Preferred Qualifications:



    • Experience with streaming systems (Kafka, Kinesis, Pub/Sub)


    • Experience supporting model deployment and MLOps workflows


    • Experience with feature stores or vector databases


    • Familiarity with ML frameworks (TensorFlow, PyTorch)
    * This salary range is an estimation made by beBee
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