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Entarian

Earth observation services for federal agencies

Scientific Software Engineer

Software EngineeringUpdated on Nov 13
Full-time$85k - $100k

About the Job

Requirements

  • A bachelor's degree in Computer Science, Electrical Engineering, Aerospace Engineering, Computer Engineering, Physics, or another relevant field is required.
  • At least 5 years of experience developing in Python, Fortran, C/C++, and a Unix/Linux development environment is required.
  • At least 3 years of experience with command-line tools and shell scripting in developing numerical computational analytical software is required, preferably supporting scientific research and development with large scientific datasets.
  • An active U.S. Secret-level clearance is required.
  • Excellent oral and written communication skills are required.

Responsibilities

  • Help build enduring RF processing software assets to continuously deliver innovative RF impact products to DoD missions.
  • Apply software ingenuity to create key integration gateways between science code and computing infrastructure.
  • Promote an API-first approach and deliver robust software implementation.
  • Design and implement large-scale automated numeric regression testing infrastructure similar to NOAA UFS HST.

Desired Qualifications

  • Experience or background in space weather science or ionosphere physics and RF communication and radar.
  • Experience architecting Kubernetes solutions.
  • Experience with OGC and geospatial programming.

About the Company

Entarian

Earth observation services for federal agencies

Entarian provides scientific, engineering, environmental, and IT services to U.S. federal agencies, focusing on satellite mission operations, Earth observation data processing, cloud migrations, and cybersecurity. It maintains satellite ground systems and processes environmental data for clients like NOAA, NASA, and the U.S. Space Force under long-term contracts, using data analytics, AI/ML, and cloud computing. A notable project is migrating NOAA’s CLASS to AWS to reduce costs and improve data resilience, among other climate and environmental analytics work. Its strength comes from deep domain expertise in satellite ground systems and large, multi-year contracts, with Macquarie Capital backing to help expand into new markets and civilian opportunities.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Greenbelt, MD
Founded
1993

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