Senior Data Engineer
Salary & Market Data
Matched to BLS occupational data · Maryland
Job Description
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
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