Senior SAS Data Engineer

Job Description: Senior SAS Data Engineer Remote Role Overview We are looking for a Senior Data Engineer to design, build, and support large-scale data pipelines and analytics solutions. The role involves supporting SAS-based analytics, modernizing data platforms using Databricks and Spark, and delivering governed, scalable data solutions aligned with enterprise standards. Key Responsibilities • Design, develop, test, and deploy ETL/ELT pipelines using ADF, Databricks, PySpark, Python, and SAS • Build and optimize batch and incremental data pipelines for large-scale structured and semi-structured data • Support and modernize SAS analytics pipelines, including migration to Spark/Databricks • Develop data models and datasets using Delta Lake / Apache Iceberg • Optimize data lakes on ADLS / AWS S3 • Integrate pipelines with Snowflake for analytics and reporting • Implement data governance, access control, and lineage using Unity Catalog • Provide production support, monitoring, root cause analysis, and issue resolution • Collaborate with business users, architects, and analytics teams; create detailed design and SOP documentation • Act as Databricks SME and mentor junior engineers Required Skills & Experience • 8+ years of experience in Data Engineering / ETL • Strong hands-on experience with Databricks, Apache Spark, PySpark, Python • 6+ years with Azure Data Factory (ADF) and enterprise data pipelines • Experience with Snowflake, ADLS/AWS S3, Delta Lake, Apache Iceberg • Strong SQL and SAS skills (SAS Data Step, Macros, PROC SQL) • Experience with Airflow, Unix/Linux, and shell scripting • Knowledge of CI/CD, monitoring, logging, and governance frameworks Nice to Have • Experience migrating SAS pipelines to Spark/Databricks • Healthcare domain experience • Strong documentation and mentoring experience