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2025-9-15
Ft Smith, AR
Multi Function Info Systems DATABASE Admin Fort Smith AR Computer Systems Ft Smith AR Lockheed Martin Lockheed Martin United States North America Description: Join the Lockheed Martin Aeronautics Field Sustainment Team. Our customers include both the U.S. Military and international governments and organizations. Our global reach and technical depth offer an endless amount of opportunities for up-and-coming Autonomic Logistics Information Systems (ALIS) or Mission Planning Environment (MPE) professionals seeking a place to make their mark or for seasoned Autonomic Logist
2025-9-8
Ft Smith, AR
Multi Function Info Systems DATABASE Admin Computer Systems Ft Smith AR ARKANSAS Lockheed Martin United States 702765BR
2025-8-27
Scott Afb, IL
Oracle DATABASE Developer Business Operations Scott Afb IL ILLINOIS SAIC United States 2509151
2025-8-28
Houston, TX
It Manager DATABASE Administration MANAGEMENT Houston TX TEXAS Honeywell United States 115585
2025-8-22
Grove City, OH
Lead DATABASE Administrator Computer Systems Grove City OH OHIO FLIGHTSAFETY INTERNATIONAL United States OH292479177
2025-9-11
Greenville, SC
Info Sys Analyst: DATABASE Admin Lakenheath Uk Expat Computer Systems Greenville SC SOUTH CAROLINA Lockheed Martin United States 702480BR
2025-8-22
Ashburn, VA
DATABASE Administrator Principal Computer Systems Ashburn VA VIRGINIA SAIC United States 2509215
2025-8-28
Ashburn, VA
Graph vector DATABASE Administrator Computer Systems Ashburn VA VIRGINIA SAIC United States 2509184
2025-8-28
Ashburn, VA
Nosql DATABASE Administrator Principal Computer Systems Ashburn VA VIRGINIA SAIC United States 2509183
2025-8-28
Chantilly, VA
ETL DATABASE Engineer Senior Engineering Chantilly VA BAE Systems BAE Systems United States North America Job Description This position is ideal for a software developer and ETL engineer with a desire to work on a system that provides real operational impact on the world at large by assisting law enforcement in catching the worst of the worst. Primary work will be the extraction transformation and load of large widely diverse data sets. The work supports the ingest of legacy data from standalone system to a cloud based system with end users crossing many time zones. Additio
2025-8-26
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2025-9-15
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