Job description

COMPANY OVERVIEW For over 25 years, Edgesource Corporation has served as an innovative technology service provider for the Department of War (DOW), Department of Homeland Security (DHS), Department of State (DOS), the U.S. Intelligence Community, Law Enforcement, and other federal, state, and commercial clients locally, nationally, and abroad. From providing boutique technical solutions in support of the DOD Counter Unmanned Aerial Systems (CUAS) mission set to addressing the most critical Cybersecurity threats facing our nation as a prime contractor with the DHS Cybersecurity & Infrastructure Security Agency (CISA), a career at Edgesource is an opportunity to do meaningful, interesting, and impactful work. POSITION OVERVIEW Client is seeking a data engineer to grow our team performing cutting edge client work in mission space. With overwhelming amounts of large data, client is seeking a data engineer to support data structuring for implementation into a larger enterprise system that is being custom developed for client. RESPONSIBILITIES - Design, develop, and maintain ETL/ELT pipelines for batch and real-time processing using Python and SQL. - Integrate data from multiple sources, including databases, APIs, streaming platforms, PDFs, and MS 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. - Exposure to PySpark or other big data frameworks is a plus for future pipeline scalability. - Develop and implement web scraping and data ingestion workflows to collect open-source data, integrating content and producing structured datasets and visualizations for analytics and stakeholder consumption. DATA MANAGEMENT & OPTIMIZATION - 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 security standards. COLLABORATION WITH DATA SCIENCE & STAKEHOLDERS - 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 ML models to production, ensuring monitoring, versioning, and performance optimization. - APIs, Containers & CI/CD - Integrate with REST APIs. - Utilize Docker, Kubernetes, Git, and CI/CD pipelines to deploy and manage workflows. DOCUMENTATION & COMMUNICATION 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. REQUIRED QUALIFICATIONS - Active TS/SCI FSP - 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. - Capable of managing multiple priorities in a fast-paced environment. TECHNICAL SKILLS - Python, SQL, and PySpark (highly desired) for data processing and pipeline development. - Elastic/OpenSearch for search and analytics solutions. - Experience with AWS cloud services and Linux environments. - Git for version control and collaborative development. - Understanding of machine learning workflows and MLOps concepts. DESIRED QUALIFICATIONS (NOT REQUIRED) - Hands-on experience modeling, querying, and optimizing graph databases, especially Neo4j highly desired WORKING AT EDGESOURCE As an ISO 9001:2015 certified and CMMI Level 3 appraised small business, Edgesource specializes in providing a variety of technical solutions to include software development, database services, enterprise networking, data center virtualization, and management support. We are always seeking top-talent to join our team in helping to address the most critical technical challenges facing our nation. At Edgesource, we understand that our employees are our greatest asset, and as such we offer a wide array of benefits to support the well-being of our staff to include: - Flexible PTO Policy + 11 Paid Holidays - Flexible Work Schedules (Remote / Hybrid) - Medical / Dental / Vision / Flexible Spending Account (FSA) - 401k Plan with Match - Tuition & Professional Development Support - Commuter Benefits - Bonus & Employee Referral Programs - Career Growth Opportunities DISCLAIMER All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Edgesource is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact our Recruiting Department by email at recruiting@edgesource.com recruiting@edgesource.comor by phone at (703) 837-0550.

Requirements

Must-haves

Design, develop, and maintain ETL/ELT pipelines for batch and real-time processing using Python and SQL.
Integrate data from multiple sources, including databases, APIs, streaming platforms, PDFs, and MS 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 and implement web scraping and data ingestion workflows to collect open-source data, integrating content and producing 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 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 ML models to production, ensuring monitoring, versioning, and performance optimization.
APIs, Containers & CI/CD
Integrate with REST APIs.
Utilize Docker, Kubernetes, Git, and 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.
Active TS/SCI FSP
3–5 years + of professional experience in data engineering or related roles.

Nice-to-haves

Exposure to PySpark or other big data frameworks is a plus for future pipeline scalability.
Bonus & Employee Referral Programs

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonsqlmachine learningawsmlci/cdrestdockerkubernetes

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto

Professional Development