Senior Data Engineer - Supply Chain & Analytics Platforms

Overview

Senior Data Engineer to design, build, and optimize scalable data pipelines and enterprise data products for supply chain, manufacturing, and operational decision-making.

What you'll do

• Design and maintain scalable, reliable data pipelines using Python, SQL, Airflow, dbt, Spark, and cloud technologies.
• Create reusable, version-controlled data models for operational reporting and advanced analytics use cases.
• Optimize Snowflake structures, workloads, and SQL performance for scalability and cost efficiency.
• Implement automated data validation, testing, monitoring, and observability for data quality and reliability.
• Develop data products and semantic data layers for self-service analytics and standardized metrics.
• Build integrations between Snowflake and enterprise systems, APIs, and cloud storage, including ingestion frameworks.

What you'll need

• 10+ years of overall IT experience with at least 5+ years of hands-on Data Engineering.
• Expert-level SQL and knowledge of relational and dimensional data modeling.
• Cloud data platform experience, preferably Snowflake.
• Strong Python skills for data engineering and automation.
• Hands-on experience with dbt, Apache Airflow, and Spark/PySpark.
• Experience designing and maintaining large-scale ETL/ELT architectures.
• Experience implementing data quality, testing, monitoring, and observability solutions.

Details

• Maintain overlapping working hours with EST mornings.
• Provide production support including root-cause analysis and incident resolution for critical data pipelines and platforms.
• Contribute to on-call support as needed.