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Edgesource

IT services for federal government

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeChantilly, VA, USA

About the Job

Requirements

  • Active Top Secret/Sensitive Compartmented Information Full Scope Polygraph clearance is required.
  • At least 3–5 years of professional experience in data engineering or related roles.
  • Strong collaboration skills to work effectively with Data Scientists, Analysts, and Engineering teams.
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Detail-oriented, curious, and committed to data quality.
  • Able to manage multiple priorities in a fast-paced environment.
  • Experience with Python, SQL, and PySpark for data processing and pipeline development; PySpark is highly desired.
  • Experience with Elastic/OpenSearch for search and analytics solutions.
  • Experience with AWS cloud services and Linux environments.
  • Experience with Git for version control and collaborative development.
  • Understanding of machine learning workflows and MLOps concepts.

Responsibilities

  • Design, develop, and maintain extract, transform, and load (ETL) or extract, load, and transform (ELT) pipelines for batch and real-time processing using Python and SQL.
  • Integrate data from multiple sources, including databases, application programming interfaces (APIs), streaming platforms, PDFs, and Microsoft Office files.
  • Build scalable data architectures to support analytics and machine learning workloads.
  • Optimize data processing and queries for performance and cost efficiency in AWS S3.
  • Develop web scraping and data ingestion workflows to collect open-source data, integrate content, and produce structured datasets and visualizations for analytics and stakeholder consumption.
  • Collect, clean, and validate large volumes of structured and unstructured data.
  • Track data versions, implement data quality checks, and ensure data reliability.
  • Design and optimize data storage in AWS S3, including raw, intermediate, and final datasets.
  • Implement data governance practices, including documentation, cataloging, lineage, and security.
  • Ensure compliance with security standards.
  • Work closely with Data Scientists, Analysts, and stakeholders to understand data requirements.
  • Prepare clean, structured, and feature-ready datasets for analytics and machine learning.
  • Support feature engineering, aggregations, and transformations at scale.
  • Assist in deploying machine learning models to production, ensuring monitoring, versioning, and performance optimization.
  • Integrate with REST APIs.
  • Use Docker, Kubernetes, Git, and continuous integration and continuous delivery (CI/CD) pipelines to deploy and manage workflows.
  • Document pipelines, data schemas, and transformations clearly.
  • Communicate technical concepts effectively with cross-functional teams.
  • Participate in code reviews and promote best practices across the team.

Desired Qualifications

  • Hands-on experience modeling, querying, and optimizing graph databases, especially Neo4j, is highly desired.
  • Exposure to PySpark or other big data frameworks is a plus for future pipeline scalability.

About the Company

Edgesource

IT services for federal government

Edgesource provides information technology services to the federal government and commercial industries. It focuses on application development, database services, enterprise networking, data center virtualization, and management support, delivering skilled professionals for local, national, or international projects. The company works by supplying experienced staff and project teams to meet client needs, often as prime contractors or subcontractors, with projects carried out through formal processes and staffed with certified professionals. Edgesource differentiates itself through its government-focused experience, a quality framework (ISO 9001:2015) and CMMI Level 3 maturity, and a track record of supporting agencies such as the State, Defense, Homeland Security, Treasury, and the Intelligence Community. Its goal is to provide dependable, compliant IT services and solutions to federal and commercial clients while growing as a trusted government contractor.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Alexandria, VA
Founded
1997

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