Information Operations Data Engineer The Opportunity: In today’s operational environment, mission owners rely on timely, trustworthy, and scalable data capabilities to plan, decide, and act. As a forward‑deployed Data Engineer, you will partner directly with end
Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing big data
Job Title: Cloud FinOps Practitioner Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular-Long Term Assignment Percentage of Travel Required: Up to 10% Type of Travel: Local *
Job Title: AI/ML Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular-Long Term Assignment Percentage of Travel Required: Up to 10% Type of Travel: Outside Continental US *
Linux Systems Administrator The Opportunity: Your technical expertise makes you the team hero, solving one problem after another. What if you could use those skills to improve the technology supporting the U.S. Federal Government? We’re looking
We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.MongoDB Pre-Sales Solution Architects
We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution
NTT DATA is a trusted global innovator of business and technology services, helping clients innovate, optimize, and transform for success. We strive to hire exceptional, innovative, and passionate individuals who want to grow with us. If
QUALIFICATIONSDegree in (business) maths, statistics, machine learning, data science, physics, computer science or engineering requiredUp to 2 years of professional hands-on experience in applying advanced data science methods and implementing technical data solutions (e.g. develop machine