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Science Software Engineer

Job in Baltimore, Anne Arundel County, Maryland, 21276, USA
Listing for: Vets Hired
Full Time position
Listed on 2026-02-16
Job specializations:
  • Software Development
    Software Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Job Summary

This role focuses on designing, developing, and maintaining scientific software that converts raw spacecraft data into high-precision data products used by astronomers worldwide. The position supports multiple space science missions and contributes to calibration pipelines, data processing automation, and data quality monitoring in a fast-paced, multi-mission environment.

The engineer will collaborate closely with scientists and developers to deliver reliable, accurate, and scalable software solutions. This role involves both internal development and external-facing support, requiring strong technical skills, problem-solving ability, and effective communication with diverse user communities.

Key Responsibilities
  • Develop and maintain software for processing and calibrating astronomical data
  • Build and enhance calibration software for space-based scientific instruments
  • Contribute to automation of data processing pipelines and data quality monitoring systems
  • Support development of scientific data formats and open-source astronomy libraries
  • Collaborate with astronomers to deliver solutions for complex scientific problems
  • Identify issues, implement fixes, and provide technical guidance to development teams and end users
Required Qualifications
  • Strong expertise in Python software development
  • Experience developing software in C
  • Experience using open-source scientific libraries such as Num Py, Sci Py, and Astropy
  • Proficiency with Git and collaborative version-control workflows
  • Familiarity with software testing tools and practices
  • Strong analytical, problem-solving, planning, and organizational skills
  • Excellent written and verbal communication skills
Preferred Qualifications
  • Familiarity with data formats such as YAML, JSON, HDF5, or similar
  • Experience working with astronomical data formats
  • Educational background in engineering, computer science, mathematics, physics, astronomy, or a closely related discipline
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