Palantir / Maven Product Engineer (Mid-Level)

NetCentrics CorporationHerndon, VA

About The Position

NetCentrics is seeking a Product Engineer to support the development and integration of advanced analytics capabilities within the Palantir Maven Smart System environment, specifically for national security missions. This role involves contributing to the design, development, and deployment of mission software that integrates distributed data systems, machine learning capabilities, and operational decision-support workflows. NetCentrics is a leader in cybersecurity, cloud, digital transformation, and mission support, serving clients such as the Department of Defense (DoD), Department of Homeland Security (DHS), Federal Civilian Agencies, and the Intelligence Community. The company is composed of intellectually curious professionals dedicated to solving complex problems and securing the nation, guided by core values including Mission First, People Always, Be Eminent, Embrace the Team, and Act with a Purpose. Joining NetCentrics means contributing to safeguarding the nation and being at the forefront of innovation in cybersecurity and IT.

Requirements

  • 4–8 years experience in software engineering, data engineering, or distributed systems.
  • Strong development experience in Python, Java, Scala, or Go.
  • Experience building distributed systems, microservices architectures, or real-time data platforms.
  • Experience working with cloud-native architectures (AWS, Kubernetes, containerized platforms).
  • Active Secret clearance required
  • Must be eligible to obtain TS/SCI

Nice To Haves

  • Familiarity with AI/ML pipelines, operational analytics platforms, or geospatial data systems preferred.
  • Experience working in mission-oriented or high-security environments preferred.

Responsibilities

  • Design and develop mission applications, backend services, and integrations within the Maven Smart System ecosystem.
  • Build scalable data pipelines and distributed processing systems supporting multi-source intelligence data.
  • Integrate machine learning models, analytics platforms, and sensor-derived data into operational workflows.
  • Develop user-facing applications and tools supporting real-time mission decision-making.
  • Collaborate with data scientists, mission operators, product teams, and software engineers to deliver high-impact capabilities.
  • Ensure reliability, scalability, security, and performance of mission software systems.
  • Support deployment, testing, and operational rollout of analytics capabilities across mission environments.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

101-250 employees

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