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About the Role
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.
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
- 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.
- U.S. citizenship and an active security clearance are required for this position.
Skills
- Python
- Data engineering techniques and principles
- ETL pipeline building
- Data storage and retrieval optimization
- Pipeline orchestration tools and concepts
- Data science theoretical foundations
- Graph modeling
- Graph databases
- Communication skills
- Open Metadata
- PostgreSQL
- Data Load Tool (dlt)
- Dagster
- Airflow
- Prefect
- Neo4j
- Amazon Neptune
- Linux server administration
- Windows server administration
- STIG compliance
- Vulnerability scanning tools
Location
- Washington, D.C. metro area
Work Type
- On-Site
- Full-time
- Direct hire
Experience Level
- 3 to 5 years of professional experience
Benefits
- Health coverage
- Retirement plan
- Paid time off
About the Company
- M&S Consulting is a Women-Owned, HUBZone-certified small business headquartered in Morgantown, West Virginia.
Equal Opportunity
- M&S Consulting, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.