Data Engineer

CSA Global LLC•Norfolk, NY

About The Position

CSA Global Inc. is seeking a Data Engineer to enable secure, reliable, and scalable data solutions supporting J35S Global Force Management systems and technology. The role designs and maintains enterprise-grade extract, transfer, and load (ETL) pipelines and performs data integration, cleaning, and transformation to ensure accuracy and compliance across diverse systems. It enables data flows for analytics, visualization, and decision-making while adhering to Department of Defense cybersecurity and governance standards. The position supports operational analysis and management of Global Force Management related to Joint Technology Development efforts. It analyzes government-provided authoritative and classified data to support insight into Global Force Management and Planning and Execution process outcomes, statistical modeling, and machine learning efforts to automate and simplify processes. The work includes researching market and business operations, analyzing raw data with government points of contact and operational managers, and producing analysis to inform senior military and J35 decision-makers. The role also supports data warehousing sustainment and improvement, enterprise pipelines, data models, APIs, cloud solutions, and large-scale data processing systems.

Requirements

Must possess and maintain an active U.S. Secret security clearance.
Bachelor of Science degree from an accredited college or university in Computer Science, Information Systems Management, Computer Science Application Management, or a related field, plus 3 years of professional experience; alternatively, no degree and 4 to 9 years of experience in technical areas involving the operation, design, development, documentation, and operation of distributed computer modeling and simulation.
Security Plus, Network+, or Operating System certification.
Demonstrated success in at least one technical area listed in the posting, including operational planning or joint experimentation models and simulations; unit status tracking and translating status into tactical displays and SOPs; requesting warfighting resources; air defense, air campaign, and service operations; intelligence sensors and radars; missile defense assets; joint service organizations and military capabilities; logistics airlift and sealift; Coalition, UN, NATO, or NGO operations; Service and Joint operations; server monitoring and management; or testing and evaluation of modeling and simulation and Command and Control systems.

Nice To Haves

Microsoft Certified: Azure Data Engineer Associate.
AWS Certified Data Analytics.
Google Cloud Professional Data Engineer.
Databricks Certified Data Engineer.
Qlik data analytics certifications.

Responsibilities

Conduct operational analysis and management of Global Force Management related to Joint Technology Development efforts.
Analyze authoritative and classified government data to assess Global Force Management and Planning and Execution process outcomes.
Build statistical models and machine learning models to support process decision-making and automation.
Research market and business operations to identify trends and relationships, using methods and systems to work with data in DoD mission-critical and mission-essential IT systems.
Analyze raw data with J35 government points of contact and operational managers, applying mathematical models and algorithms to produce actionable analysis for senior decision-makers.
Analyze data warehousing solutions and maintain familiarity with ETL tools, data storage, and retrieval; support sustainment and improvement.
Design, build, and maintain data pipelines for enterprise data flows.
Integrate, clean, and transform structured and unstructured data.
Develop and implement data models for analytics, visualization, and reporting.
Collaborate with analysts, developers, and mission stakeholders to ensure data accuracy and accessibility.
Deploy and manage solutions on AWS, Azure, or DoD Cloud in compliance with federal security standards.
Create and maintain APIs for secure data access and integration.
Troubleshoot and optimize large-scale data processing systems.
Ensure compliance with government data governance and cybersecurity requirements.