Data Engineer
LeoLabs
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- Play a key role in building and operating data pipelines and analytics infrastructure
- Work closely with software engineers, radar and catalog teams, and data scientists
- Ensure reliable extraction, transformation, and loading (ETL) of mission-critical datasets
- Develop scalable batch and streaming data workflows
- Enable advanced analytics and support machine learning initiatives
- Help transform large volumes of sensor and orbital data into actionable intelligence
- Engage in hands-on development with opportunities to grow into increased ownership of data platform design and optimization
Requirements
- 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
- Unlimited paid time off for most roles
- Competitive salary and equity packages
- Comprehensive health, dental, and vision coverage
- Access to the forefront of commercial space operations and defense innovation
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringETLdata pipelinesPythonSQLDatabricksApache Sparkdata modelingcloud-native environmentsfeature engineering
Soft Skills
analytical mindsettroubleshootingeffective communicationcollaborationownershipproblem-solvingadaptabilityteamworkoperational supportinitiative
Certifications
B.S. in Computer ScienceM.S. in Data Scienceactive U.S. security clearance