Data Engineer, LeoLabs

• B.S. or M.S. in Computer Science, Data Science, Engineering, Mathematics, Physics, or equivalent experience
• 0-2 years of experience in data engineering, software engineering, analytics engineering, or related technical roles
• Experience designing and building data pipelines or ETL/ELT workflows
• Hands-on experience with Databricks, Apache Spark, or distributed data processing frameworks
• Proficiency in Python and SQL for data transformation and analysis
• Familiarity with data modeling concepts and modern data lake or warehouse architectures
• Experience working in cloud-native environments (AWS preferred)
• Understanding of software development best practices including version control, testing, and CI/CD
• Strong analytical mindset and ability to troubleshoot complex data issues
• Effective communication skills and ability to collaborate across distributed engineering teams
• Ability to participate in operational support rotations during critical incidents

Desirable

• We 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
• Within 1 Month, You’ll
• Complete onboarding to gain familiarity with LeoLabs’ mission, products, and data platform
• Successfully configure development environments, tooling, and data access
• Participate in team ceremonies and begin ramping up on existing data pipelines and platform services
• Deliver initial low-risk improvements such as pipeline enhancements, monitoring updates, or documentation contributions
• Within 3 Months, You’ll
• Develop working knowledge of LeoLabs’ data architecture, ingestion systems, and Databricks workflows
• Contribute to building and maintaining small-to-medium data pipeline features
• Collaborate with data scientists and product stakeholders to support analytics and modeling initiatives
• Improve pipeline reliability, performance, and observability
• Within 6 Months, You’ll
• Demonstrate solid understanding of platform architecture and operational practices
• Independently deliver well-tested and scalable data workflows
• Take ownership of defined datasets or pipeline components
• Within 12 Months, You’ll
• Demonstrate proficiency across LeoLabs’ data engineering stack and cloud data platform
• Deliver pipeline enhancements end-to-end with minimal oversight
• Contribute to architecture discussions and platform roadmap planning
• Identify opportunities to improve data quality, scalability, and mission impact