Science Software Engineer

Vets Inc
Baltimore, MD, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Testing (Software) JSON Python (Programming Language) NumPy Open Source Technology SciPy Server Administration Software Engineering YAML Data Processing Git Information Technology
+2 more
Software Version Control Data Pipelines

Job description

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., * 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

Requirements

Science Software, Software Engineering, Science Software, Automation, Space Science, Data Processing, Data Quality, Calibration, Quality Monitoring, Software Administration, * Strong expertise in Python software development

  • Experience developing software in C
  • Experience using open-source scientific libraries such as NumPy, SciPy, 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

About the company

2026 Feb 12th Virtual - Space Telescope Science Institute

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