Data Engineer
Synectics for Management Decisions•Washington, DC
•Hybrid
About The Position
We're looking for a Data Engineer to design, build, and optimize ETL pipelines that ingest and transform priority datasets into an enterprise data platform, using AWS-native services within a Medallion (Bronze–Silver–Gold) architecture, for a federal government client. Job location is the Washington, DC Metro Area. Hybrid options can be considered. Position is contingent upon contract award.
Requirements
- 3–7 years designing and maintaining AWS-based data pipelines (Glue, Lambda, Step Functions, S3)
- Experience building serverless, event-driven ETL/ELT workflows and Medallion/Lakehouse designs
- Proficiency in Python, SQL, PySpark, Pandas, or similar data processing frameworks
- Experience with data validation tools (e.g., Great Expectations), data catalogs (AWS Glue, Lake Formation), CI/CD, and infrastructure-as-code (Terraform)
- Experience producing technical documentation (ERDs, data dictionaries, lineage diagrams) for government or regulated stakeholders
- Must be able to pass a federal background investigation prior to starting work and maintain eligibility throughout the engagement.
- Candidates must be authorized to work in the United States without current or future employer sponsorship.
Nice To Haves
- Experience with federal government data projects.
- AWS Certified Data Engineer – Associate
- AWS Certified Developer – Associate
- AWS Certified Solutions Architect – Associate
Responsibilities
- Design, build, test, and deploy ETL pipelines using AWS-native services or approved third-party tools hosted on AWS
- Develop supporting data models, schemas, validation frameworks, and database structures; enhance models to support expanded analytics and reporting
- Implement scalable data validation and quality checks, including error handling and lineage capture
- Produce complete technical documentation including ERDs, data dictionaries, and pipeline specifications
- Collaborate with stakeholders to prioritize datasets, define sequencing, and identify phased deployment options
- Support thorough testing across development, staging, and production environments
- Meet defined performance standards for pipeline reliability, data-validation pass rates, and data freshness
Benefits
- Hybrid options can be considered.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
