Data Engineer

Why LeoLabs?At LeoLabs, we're building the living map of activity in space. Through our proprietary global radar network and AI-enabled analytics platform, we collect millions of measurements daily on more than 25,000 objects in low Earth orbit (LEO). Our radar-powered intelligence protects billions in assets, monitors adversarial behavior, and ensures safe operations for commercial and government missions.We're not just building technology, we are redefining global security, safety, and transparency in space. As orbital activity accelerates and threats grow more complex, LeoLabs is a trusted partner for Space Domain Awareness, Space Traffic Management, and Satellite Operations for top-tier space operators and allied defense organizations.If you're looking to work on mission-critical challenges at the forefront of aerospace, national security, and AI, your impact starts here.The OpportunityWe are seeking a motivated and hands-on Data Engineer to join LeoLabs' growing Insights team. You will play a key role in building and operating the data pipelines and analytics infrastructure that power customer insights, internal decision-making, and real-time space domain awareness capabilities.You will work closely with software engineers, radar and catalog teams, and data scientists to ensure reliable extraction, transformation, and loading (ETL) of mission-critical datasets. This includes developing scalable batch and streaming data workflows, enabling advanced analytics, and supporting machine learning initiatives.Your contributions will help transform large volumes of sensor and orbital data into actionable intelligence that enables users to safely operate and manage assets in low-Earth orbit. This role is primarily hands-on development, with opportunities to grow into increased ownership of data platform design and optimization.QualificationsB.S. or M.S. in Computer Science, Data Science, Engineering, Mathematics, Physics, or equivalent experience0-2 years of experience in data engineering, software engineering, analytics engineering, or related technical rolesExperience designing and building data pipelines or ETL/ELT workflowsHands-on experience with Databricks, Apache Spark, or distributed data processing frameworksProficiency in Python and SQL for data transformation and analysisFamiliarity with data modeling concepts and modern data lake or warehouse architecturesExperience working in cloud-native environments (AWS preferred)Understanding of software development best practices including version control, testing, and CI/CDStrong analytical mindset and ability to troubleshoot complex data issuesEffective communication skills and ability to collaborate across distributed engineering teamsAbility to participate in operational support rotations during critical incidentsData Preferred QualificationsExperience supporting data science or machine learning workflows, including feature engineering pipelinesFamiliarity with Delta Lake, Lakehouse architectures, or large-scale telemetry data processingExposure to streaming data systems such as Kafka or Spark Structured StreamingExperience with workflow orchestration tools such as Airflow or Databricks WorkflowsBackground in orbital mechanics, aerospace, physics, or applied mathematicsExperience building analytics datasets or semantic models for BI toolsActive U.S. security clearance or ability to obtain oneWithin 1 Month, You'llComplete onboarding to gain familiarity with LeoLabs' mission, products, and data platformSuccessfully configure development environments, tooling, and data accessParticipate in team ceremonies and begin ramping up on existing data pipelines and platform servicesDeliver initial low-risk improvements such as pipeline enhancements, monitoring updates, or documentation contributionsWithin 3 Months, You'llDevelop working knowledge of LeoLabs' data architecture, ingestion systems, and Databricks workflowsContribute to building and maintaining small-to-medium data pipeline featuresCollaborate with data scientists and product stakeholders to support analytics and modeling initiativesImprove pipeline reliability, performance, and observabilityWithin 6 Months, You'llDemonstrate solid understanding of platform architecture and operational practicesIndependently deliver well-tested and scalable data workflowsTake ownership of defined datasets or pipeline componentsWithin 12 Months, You'llDemonstrate proficiency across LeoLabs' data engineering stack and cloud data platformDeliver pipeline enhancements end-to-end with minimal oversightContribute to architecture discussions and platform roadmap planningIdentify opportunities to improve data quality, scalability, and mission impactPerks and BenefitsGlobal workforce: flexible remote/hybrid opportunitiesWork on complex, meaningful missions with real-world impactUnlimited paid time off for most rolesCompetitive salary and equity packagesComprehensive health, dental, and vision coverageAccess to the forefront of commercial space operations and defense innovationAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, national origin, disability, or status as a protected veteran.J-18808-Ljbffr