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