ML Data Engineer at beebom

About the role

Build robust data pipelines that fuel machine learning systems. Work on data quality, feature engineering, and large-scale data processing for AI applications.

Responsibilities

• Design and build data pipelines for ML training
• Implement data quality monitoring and validation
• Create feature engineering frameworks
• Manage data lakes and warehouses for ML workloads

Requirements

• BS in Computer Science, Data Engineering, or related field
• 3+ years in data engineering
• Expert in Spark, Flink, or similar frameworks
• Experience with data warehouses (Snowflake, BigQuery)
• Knowledge of ML data formats and best practices

Benefits

• Competitive salary
• Stock options
• Remote flexibility
• Professional development