Note: The job is a remote job and is open to candidates in USA. LeoLabs is a company focused on building a living map of activity in space through advanced technology. They are seeking an early career Data Engineer to build and operate data pipelines and analytics infrastructure that support critical insights and decision-making for space operations.

Responsibilities

• 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
• Work closely with software engineers, radar and catalog teams, and data scientists to ensure reliable extraction, transformation, and loading (ETL) of mission-critical datasets
• Develop scalable batch and streaming data workflows, enabling advanced analytics, and supporting machine learning initiatives
• Transform large volumes of sensor and orbital data into actionable intelligence that enables users to safely operate and manage assets in low-Earth orbit
• Participate in operational support rotations during critical incidents

Skills

• Must be eligible to obtain and maintain a U.S. personnel security clearance
• 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
• Experience supporting data science or machine learning workflows, including feature engineering pipelines
• Familiarity with Delta Lake, Lakehouse architectures, or large-scale telemetry data processing
• Exposure to streaming data systems such as Kafka or Spark Structured Streaming
• Experience with workflow orchestration tools such as Airflow or Databricks Workflows
• Background in orbital mechanics, aerospace, physics, or applied mathematics
• Experience building analytics datasets or semantic models for BI tools
• Active U.S. security clearance or ability to obtain one

Benefits

• Global workforce: flexible remote/hybrid opportunities
• Work on complex, meaningful missions with real-world impact
• Competitive salary and equity packages
• Comprehensive health, dental, and vision coverage
• Access to the forefront of commercial space operations and defense innovation

Company Overview