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Lead, Image Data & Software Engineering

Herndon, VA
Our client a leading provider of real-time geospatial intelligence is seeking a talented Image Data & Software Engineer who will be responsible for leading the team who develops and maintains the pipeline that transforms the raw pixels collected by company’s satellites into imagery products.


  • Write, deploy, and maintain the production image processing pipeline that transforms raw data from the satellites into imagery products and calibration coefficients
  • Build and mentor a team of talented, collaborative, and motivated image data & software engineers with high expectations for individual ownership and impact
  • Collaborate with the other Imaging, Analytics, and Software tech leads to define the technology strategy and architectural vision for the image processing pipeline
  • Provide data access and visualization for data scientists, analysts, and executives to inform decision-making and technology strategy
  • Mentor engineers and scientists on best practices and performance; identify gaps in requirements or implementation processes and advocate for continuous improvement
  • Collaborate with image processing engineers to deploy new algorithms into the production pipeline, develop robust tools for at-scale testing


Required Qualifications:

  • Excellent written and verbal communication skills and an ability to articulate technical concepts clearly and succinctly
  • Expertise in Python
  • Expertise in agile development methodologies, git, CI/CD
  • Proficiency with cloud deployments and environments, particularly AWS
  • Experience building a production-level, processing pipeline
  • Experience building and leading teams to collaboratively solve complex, multi-disciplinary problems
  • Experience with data engineering, ETL, data viz
  • Experience with Docker/Containerized applications


Preferred Qualifications:

  • Experience with large-scale scientific computing
  • DevOps/MLOps experience
  • Experience with key data science, image processing, and geospatial libraries, such as NumPy, Pandas, OpenCV, GDAL, etc
  • Big Data experience (Hadoop, spark, kafka, etc)
  • Proficiency with C++, C, and Cython (in addition to Python)
  • Experience with config management/orchestration tools (chef, ansible, terraform, cloudformation)
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