Cleared Data Engineer: ETL, Graph DB, On‑Site DC

M&S Consulting; Washington; On-site; USD 110,000 - 170,000; Full time

Job summary

M&S Consulting is seeking a hands-on Data Engineer to join a small, high-impact on-site data engineering team in the Washington, D.C. metro area.

Build and maintain ETL pipelines on a stand-alone, classified platform, collaborating with data owners and analysts to evaluate new tools and methods. You will own the platform end to end, including graph databasing and day-to-day administration of the computing environment.

Qualifications

• 3 to 5 years of professional Python experience.
• 3 to 5 years of experience with data engineering techniques and ETL pipelines.
• 3 to 5 years of experience with pipeline orchestration tools.
• 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.

Responsibilities

• Perform ETL tasks on a stand-alone data platform in accordance with team standards.
• Use, troubleshoot, and modify existing tools for extracting, cleaning, parsing, and storing data.
• Identify, vet, develop, and implement new tools 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.

Skills

Python

ETL pipelines

Data modeling

Pipeline orchestration

Graph databases

Communication

Independent worker

Security clearance

Tools

Dagster

Airflow

Prefect

Neo4j

Amazon Neptune

PostgreSQL

Open Metadata

DLT (Data Load Tool)

Job description

M&S Consulting is seeking a hands-on Data Engineer to join a small, high-impact on-site data engineering team in the Washington, D.C. metro area.

Build and maintain ETL pipelines on a stand-alone, classified platform, collaborating with data owners and analysts to evaluate new tools and methods. You will own the platform end to end, including graph databasing and day-to-day administration of the computing environment.