DATA ENGINEER at M&S Consulting in Washington, DC, DC
- Company: M&S Consulting
- Location: Washington, DC, DC
- Posted: Sep 18, 2026
- Type: Full-time
- Experience: 5+ years
Overview
Position Title Data Engineer Security Clearance Must have Top Secret (TS) clearance and the ability to obtain SCI Location On-site — Washington, D.C. metro area (occasional domestic travel possible) Employment Type Full-time, direct hire with M&S Consulting, LLC
Job description
- Position Title
- Data Engineer
- Security Clearance
- Must have Top Secret (TS) clearance and the ability to obtain SCI
- Location
- On-site — Washington, D.C. metro area (occasional domestic travel possible)
- Employment Type
- Full-time, direct hire with M&S Consulting, LLC
- Start Date
- September 28, 2026
- M&S Consulting is seeking a hands-on Data Engineer to join a small, high-impact on-site data engineering team. You will build and maintain ETL pipelines on a stand-alone, classified platform, work directly with data owners and analysts, and evaluate and introduce new tools and methods. This role combines data engineering, graph databasing, and day-to-day administration of the computing environment your pipelines run on — you will own the platform end to end.
- This is a direct-hire, long-term position. M&S Consulting is a Women-Owned, HUBZone-certified small business headquartered in Morgantown, West Virginia.
Responsibilities
- • Perform extract, transform, and load (ETL) tasks on a stand-alone data platform in accordance with team standards.
- • Use, troubleshoot, and modify existing tools and methods for extracting, cleaning, parsing, and storing data.
- • Identify, vet, develop, and implement new tools and methods following established engineering and security processes.
- • Stay current with advances in data engineering and provide guidance on tools and methods relevant to the team's work.
- • Engage with data owners to understand provenance, format, and context of data; provide feedback to stakeholders.
- • Produce summary reports on new and existing data holdings and draft technical documentation.
- • Communicate updates, changes, and issues clearly with other technical staff.
- • Maintain and administer the team's networks and computing environment, including installing rack-mounted hardware and performing foundational network configuration.
- • Perform system installation, configuration, and maintenance of server hardware, software, and stand-alone networks.
- • Diagnose and resolve hardware, software, network, and system issues.
- • Conduct regular vulnerability assessments and security audits in coordination with program leadership and information-system security staff.
Requirements
- • Clearance: Must have Top Secret (TS) clearance and the ability to obtain SCI.
- • 3 to 5 years of professional experience in Python.
- • 3 to 5 years of experience with data engineering techniques and principles, including building ETL pipelines and optimizing data storage and retrieval.
- • 3 to 5 years of experience with pipeline orchestration tools and concepts.
- • 3 to 5 years of experience with the theoretical foundations of data science and their practical implementation.
- • Working knowledge of industry-standard data engineering tools and their practical application.
- • Hands-on experience with graph modeling and graph databases.
- • Strong communication skills and the ability to work independently and take ownership of technical work.
- • Experience with Open Metadata, PostgreSQL, and Data Load Tool (dlt) or similar.
- • Experience with orchestration frameworks such as Dagster, Airflow, or Prefect.
- • Experience with graph platforms such as Neo4j or Amazon Neptune.
- • Experience operating in stand-alone, air-gapped, or classified computing environments.
- • Familiarity with Linux/Windows server administration, STIG compliance, and vulnerability scanning tools.
- • Prior experience in a cleared environment.
Skills
Required
- Python
- ETL pipelines
- Optimizing data storage and retrieval
- Industry-standard data engineering tools
- Graph modeling and graph databases
- Strong communication skills
Preferred
- Open Metadata
- PostgreSQL
- Data Load Tool (dlt) or similar
- Dagster
- Airflow
- Prefect
- Neo4j
- Amazon Neptune
Benefits
- • Direct-hire, long-term stability.
- • Small-company culture with direct access to leadership and real ownership of your work.
- • Competitive salary and a comprehensive benefits package, including health coverage, retirement plan, and paid time off.
- • Meaningful work in a cleared environment.