Job Title:

Senior Data Engineer Location:

Cary, NC (Onsite)

Experience:

11+ Years Job Summary We are seeking a highly experienced Senior Data Engineer with strong expertise in ETL, Snowflake, Redshift, AWS Glue, Databricks, and PySpark . The ideal candidate will design, build, and optimize scalable data pipelines and platforms, ensuring high performance, reliability, and security across enterprise data systems. Key Responsibilities Design, develop, and maintain ETL workflows for large-scale data integration. Build and optimize data pipelines using AWS Glue, Databricks, and PySpark . Implement and manage data warehouses on Snowflake and Redshift . Collaborate with cross-functional teams to gather requirements and deliver data solutions. Ensure data quality, governance, and security across platforms. Perform performance tuning, troubleshooting, and optimization of data processes. Automate workflows and support CI/CD for data engineering solutions. Provide technical leadership and mentor junior engineers. Required Skills 11+ years of experience in Data Engineering . Strong expertise in ETL development and data integration . Hands-on experience with Snowflake, Redshift, AWS Glue, Databricks, PySpark . Proficiency in SQL, Python , and distributed data processing. Solid understanding of data modeling, orchestration, and cloud-based architectures . Strong problem-solving, communication, and collaboration skills. Preferred Skills Experience with data governance and security best practices . Familiarity with Terraform, CI/CD pipelines, and cloud monitoring tools . Exposure to Agile methodologies and modern data platform practices.