Data Engineer
Synectics for Management Decisions Inc · District of Columbia, United States · $120K–$130K/yr
Staffing and Recruiting · 201-500 employees
About the role
Design, build, and deploy ETL pipelines using AWS-native services to transform datasets within a Medallion architecture. Collaborate with stakeholders to define data requirements and produce comprehensive technical documentation including ERDs and data dictionaries.
What they look for
Requirements
Requires 3–7 years of experience in AWS-based data pipeline development and proficiency in Python, SQL, and PySpark. Candidates must be able to pass a federal background investigation and be authorized to work in the United States without sponsorship.
Full description
Position Summary
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 or Remote options can be considered. Position is contingent upon contract award.
Key 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
Required Qualifications
- 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
Preferred Certifications
- AWS Certified Data Engineer – Associate
- AWS Certified Developer – Associate
- AWS Certified Solutions Architect – Associate
Additional Requirements
Must be able to pass a federal background investigation prior to starting work and maintain eligibility throughout the engagement.
Salary range for this position is $120,000.00 - $130,000.00
Work Authorization: At this time, we are unable to sponsor new H-1B visas or other employment-based visa petitions for this position. Candidates must be authorized to work in the United States without current or future employer sponsorship.
Why Join Us?
Join a collaborative team supporting high-impact federal programs that incorporate innovative technology solutions. You'll have the opportunity to lead complex modernization initiatives, work alongside talented technical professionals, and help shape the future of government IT and data management.
Synectics is an equal opportunity employer.
