Geospatial Data Engineer, Federal San Jose, CA or Remote

Muon Space is building the Fire Sat constellation, a mission optimized for global wildfire detection and monitoring. Fire Sat’s thermal anomaly detection and characterization capabilities are also of great interest to the US Defense and Intelligence communities for dual-use applications. Muon’s IR Data Products team is building the analytics system that processes the data from our spacecraft’s custom multispectral imaging instruments into data products and analytics for end-users of data from this mission.

This role will be the technical lead on developing and maintaining data processing pipelines and data products to serve the US Defense and Intelligence community.

In this role, the candidate will initially focus on two key areas:

• Build and operate the data delivery pipeline:
  Develop and run the processing pipelines in Muon’s cloud infrastructure that deliver data from Fire Sat to federal customers. Take ownership of the collection, processing, and delivery of data products to current customers.
• Data Product Ownership:
  Product owner for the imagery data products from Fire Sat for federal customers. This includes leading the development of data products supporting US D&I requirements, such as NITF formatting.

Additionally, the role will have the opportunity to work closely with Muon’s Business Development (BD) team and the Defense and Intelligence community end-users to clarify customers needs, as well as to explore developing new products for dual-use applications.

The ideal candidate has experience with geospatial data processing of infrared imagery, data engineering including setting up and running pipelines in cloud infrastructure in production, and experience with US Defense and Intelligence community needs. Muon Space is looking for candidates that are excited to unlock the potential of the Fire Sat mission for this user community. Additional responsibilities will include writing production-ready code, geospatial data engineering, as well as interacting with key US D&I stakeholders and end users to guide product development.

This role will interact with software engineering teams to build and operate pipelines, instrument engineering and science teams to ensure a deep understanding of the measurements being made as well as the needs of the data users, business development to interface with end-users of these data, and mission management to ensure effective execution. This role will ensure Muon’s data products are of the highest scientific quality, are built to meet end-user needs, and achieve Muon’s goals of ensuring a safe and resilient world.

• Develop and run the processing pipelines in Muon’s cloud infrastructure that deliver data from Fire Sat to federal customers.
• Manage the collection, processing, and delivery of data products to current customers.
• Product owner for imagery data products from Fire Sat for federal customers.
• Product owner for National Imagery Transmission Format (NITF) file formatting.
• Write production-ready code for product processing and delivery pipelines.
• Work closely with Muon’s BD team and federal end-users to clarify customer needs.
• Perform experimental analysis exploring new uses of these data for federal customer use-cases.
• Cross-functional work with Muon teams in software, systems engineering, instrument engineering, operations, and program management to ensure the success of
• Ensure the product quality, quantitative validation, and scientific integrity of Muon’s data products and services are of the highest quality.

• 5+ years building geospatial data pipelines
• Experience building and operating high-volume data processing pipelines in commercial cloud infrastructure
• Experience with large data volumes
• Experience working in and/or with the defense and intelligence geospatial community; passion for delivering value to our federal customers
• Experience with National Imagery Transmission Format (NITF) file formatting
• Experience working with real-world data from new instruments
• Familiarity with common geospatial data formats (such as Cloud optimized GeoTIFF)
• Exceptional skills in python-based development and analysis
• Ability to work with a distributed,…