Senior Data Engineer

Job Summary

To design, build, and optimize scalable data and AI platforms on Azure, the full-time Senior Data Engineer will develop data pipelines, collaborate with AI teams, and ensure data quality while working remotely from anywhere within the U.S.

Key responsibilities:

• Design and develop scalable data pipelines using Databricks, Apache Spark, and Python on Azure
• Collaborate with Data Science and AI teams to operationalize ML models and embed them into production workflows
• Ensure data quality, governance, and security across the full data lifecycle

Required qualifications:

• Bachelor's degree in Computer Science, Engineering, or IT related field
• 6+ years of experience in Data Engineering with Python/PySpark
• 6+ years of experience in building ETL/ELT pipelines using Databricks
• 4+ years of hands-on experience with Azure Databricks and Delta Lake architecture
• 3+ years of hands-on experience with Azure cloud services (ADF, ADLS, Databricks)