Senior Data Engineer

Senior Data Engineer Location: on-site (DC Metro area) with occasional Remote Clearance: Public Trust (or ability to obtain), Type: Full-time Overview Seeking a Senior Data Engineer to support an enterprise-scale data-lake modernization effort. This role will help design, develop, and sustain large analytical data platforms using Databricks, Informatica, Oracle, AWS services, and related technologies. Responsibilities Develop scalable data pipelines using Databricks (E2), Delta Lake, Spark, Scala, Python Integrate high-volume inbound/outbound data interfaces across ODS and analytical marts Enhance existing data lakes, data ponds, and analytical environments Implement data quality, validation, and governance frameworks using Informatica IICS Support real-time and batch ETL/ELT pipelines Collaborate with engineering, DevSecOps, and cloud teams Tune large-scale queries in Oracle, PostgreSQL, and Redshift Maintain legacy systems while modernizing the tech stack Support automated deployment using Jenkins, Liquibase, GitHub Produce architecture documentation, SOPs, and CONOPS Required Skills: 7+ years Data Engineering experience Expertise in Databricks, Delta Lake, Spark (Scala/Python) Advanced SQL/PL-SQL and performance tuning AWS services: S3, Glue, Lambda, Athena, Kinesis, RDS, DMS Informatica IICS / Data Quality tools CI/CD (Jenkins, GitHub, Liquibase) Experience with enterprise data warehousing Preferred: SAS, Tableau, Oracle Analytics Server Senzing, Graph Data Services Section 508 knowledge Experience with federal programs