Verified Job
IT / Software / Data Analyst
Senior Software Engineer (Data)
IT / Software / Data Analyst
#689005
Remote / WFH
Job Description
About the team
We are a team of builders from top Silicon Valley tech companies, combining our expertise in aerospace and software to drive innovation in an industry often slow to evolve. As we push forward, the Moonware ecosystem will continue to expand, unlocking new possibilities and shaping the future of travel.
• Startup is growing from a handful of customers to ~10 by the end of the year (multi-million dollar contracts)
• Our engineering environment is the best possible place to grow as an engineer: autonomy, endless resources, end user-facing, encouraged to try out new technologies.
• We're making a huge impact in air travel
About the role
Moonware is seeking a hands-on, full-stack-minded Software Engineer to lead and own our data systems powering HALO. In this role, you'll take end-to-end ownership of the entire development cycle: from ingesting and validating real-time data from devices and vendors to designing infrastructure, databases, and APIs that deliver trustworthy information at scale. This is not a backend-only role, it's a deeply cross-functional position. You'll work directly with ground crews, hardware vendors, and internal teams to architect, build, and maintain a reliable data platform that HALO and its users depend on every second.
Responsibilities
• Own all things data: ingestion pipelines, quality checks, real-time processing, storage, and delivery to downstream systems and apps
• Work across the stack: write infrastructure-as-code, deploy ingestion services, build internal tools, and expose well-designed APIs
• Collaborate with field users and vendors to understand edge cases, device quirks, and operational needs, then reflect those insights in technical design
• Build scalable systems that ensure reliability and performance under extreme load
• Ensure data integrity through automated testing, monitoring, and observability across the pipeline
• Drive engineering best practices across CI/CD, cloud architecture, and observability
• Continuously refine our data model to support growing use cases in mobility, autonomy, and coordination
• No data scientists; we want SWEs or data engineers
• Must have hands-on xp with real-time data from some kind of physical world asset (sensor data or telematics data from vehicles/IoT system)
In order to be considered, please answer the following:
• What's the hardest technical problems that you've ever worked on?
• Tell me about a project where you had the most ownership/brought a back-of-napkin idea to life.
We are a team of builders from top Silicon Valley tech companies, combining our expertise in aerospace and software to drive innovation in an industry often slow to evolve. As we push forward, the Moonware ecosystem will continue to expand, unlocking new possibilities and shaping the future of travel.
• Startup is growing from a handful of customers to ~10 by the end of the year (multi-million dollar contracts)
• Our engineering environment is the best possible place to grow as an engineer: autonomy, endless resources, end user-facing, encouraged to try out new technologies.
• We're making a huge impact in air travel
About the role
Moonware is seeking a hands-on, full-stack-minded Software Engineer to lead and own our data systems powering HALO. In this role, you'll take end-to-end ownership of the entire development cycle: from ingesting and validating real-time data from devices and vendors to designing infrastructure, databases, and APIs that deliver trustworthy information at scale. This is not a backend-only role, it's a deeply cross-functional position. You'll work directly with ground crews, hardware vendors, and internal teams to architect, build, and maintain a reliable data platform that HALO and its users depend on every second.
Responsibilities
• Own all things data: ingestion pipelines, quality checks, real-time processing, storage, and delivery to downstream systems and apps
• Work across the stack: write infrastructure-as-code, deploy ingestion services, build internal tools, and expose well-designed APIs
• Collaborate with field users and vendors to understand edge cases, device quirks, and operational needs, then reflect those insights in technical design
• Build scalable systems that ensure reliability and performance under extreme load
• Ensure data integrity through automated testing, monitoring, and observability across the pipeline
• Drive engineering best practices across CI/CD, cloud architecture, and observability
• Continuously refine our data model to support growing use cases in mobility, autonomy, and coordination
• No data scientists; we want SWEs or data engineers
• Must have hands-on xp with real-time data from some kind of physical world asset (sensor data or telematics data from vehicles/IoT system)
In order to be considered, please answer the following:
• What's the hardest technical problems that you've ever worked on?
• Tell me about a project where you had the most ownership/brought a back-of-napkin idea to life.
