Geospatial Data Engineer, Federal

Position Overview

Muon Space is building the FireSat constellation, a mission optimized for global wildfire detection and monitoring. FireSat’s thermal anomaly detection and characterization capabilities are of great interest to the US Defense and Intelligence communities for dual‐use applications. As part of the IR Data Products team, the successful candidate will serve as the technical lead charged with developing and maintaining data processing pipelines and data products that deliver FireSat imagery and analytics to federal customers.

In this role, you will: build and operate data delivery pipelines in Muon’s cloud infrastructure; take ownership of the collection, processing, and delivery of data products; and act as the product owner for imagery data products – including leading the development of products supporting US Defense and Intelligence requirements such as NITF formatting. You will work closely with internal teams and federal end-users to clarify customer needs, guide product development, and ensure that Muon’s data products meet the highest standards of scientific quality.

Salary: $218K - $224K, plus a competitive equity grant and comprehensive benefits package. Final compensation will be determined based on skills, qualifications, experience, and geographic location as assessed during the interview process.

Key Responsibilities

• Develop and run the processing pipelines in Muon’s cloud infrastructure that deliver data from FireSat to federal customers.
• Manage the collection, processing, and delivery of data products to current customers.
• Act as the product owner for imagery data products from FireSat for federal customers.
• Oversee National Imagery Transmission Format (NITF) file formatting efforts.
• Write production-ready code for product processing and delivery pipelines.
• Collaborate with Muon’s Business Development team and federal end-users to clarify customer needs.
• Perform experimental analysis exploring new uses of these data for federal customer use-cases.
• Work cross-functionally with teams in software, systems engineering, instrument engineering, operations, and program management.
• Ensure the quantitative validation and scientific integrity of Muon’s data products and services.

Required Qualifications

• 5+ years building geospatial data pipelines.
• Experience building and operating high-volume data processing pipelines in commercial cloud infrastructure.
• Proven experience handling large data volumes.
• Experience working in and/or with the defense and intelligence geospatial community and a passion for delivering value to 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, interdisciplinary team (scientists, engineers, data support).
• Ability to thrive in a fast-paced startup environment.

Preferred Qualifications

• Experience working with infrared data.
• Experience working with customers to understand their needs and pain points.
• Data science experience building data products from geospatial data.
• Experience working with data from novel imaging instruments.
• Experience working with large Tb-sized datasets.
• Ability to obtain a security clearance.

Benefits & Perks

• Equity compensation.
• Comprehensive benefits including medical, dental, and vision insurance.
• 401k retirement plan.
• Short & long term disability and life insurance.
• Three weeks paid vacation for new employees.
• 12 paid holidays.
• Unlimited sick time.
• Paid parental leave.