Information Systems Data Engineer

Loft Orbital builds and operates satellites, and behind every mission is a web of business systems: ERP, PLM, MES, issue tracking, finance, and a growing toolkit of in-house software. Each holds part of the story; none of them tells the whole thing. We’re looking for an Information Systems Data Engineer to connect them. You’ll design Loft’s centralized database, build the pipelines that feed it, and deliver the reporting that shows how we’re really performing. If you like writing code that turns messy, scattered data into something people actually rely on, we’d love to talk.

• Design, build, and maintain a centralized SQL Server database and the data model that connects Loft’s business systems
• Develop and operate Python/SQL ETL pipelines from NetSuite, Arena, ION, Jira, and other sources, managed in GitLab with CI/CD
• Build Power BI dashboards and reports that monitor operational performance and KPIs
• Develop and support NetSuite customizations, including SuiteScripts, workflows, and saved searches
• Partner with Operations, Finance, Engineering, and IT to gather requirements and deliver integrations and tools
• Document systems and data flows, and promote data quality, governance, and change control

• 3+ years of experience in data engineering, business systems, or a related technical role
• Proficiency in Python for scripting, automation, and data processing
• Hands-on experience with GitLab and CI/CD processes
• Experience building and maintaining ETL pipelines
• Strong SQL skills and experience with relational database design and management
• Clear communicator who can translate business needs into technical solutions
• Bachelor’s degree in Computer Science, Software or Computer Engineering, Information Systems, Data Science, Mathematics, Statistics, or a related engineering discipline, or equivalent professional experience

• NetSuite SuiteScript and workflow development
• NetSuite saved searches, SuiteQL, or SuiteAnalytics
• Microsoft SQL Server
• Power BI (data modeling, DAX)
• Experience with PLM, MES, or Jira data
• Experience applying AI/LLM tools to data or systems work

 *Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other underrepresented people tend to only apply when they meet 100% of the qualifications. At Loft, we value respectful debate and people who aren’t afraid to challenge assumptions.  We strongly encourage you to apply, even if you don’t check all the boxes.