Data Engineer

Company Overview

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For over 25 years, Edgesource Corporation has served as an innovative technology service provider for the Department of Defense (DOD), 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

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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. This position is funded for an initial 9–12-month period, aligned with defined mission deliverables and system development timelines. Development is performed on client site.

Responsibilities

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• 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 st...