Data Engineer

LeoLabs

Data Engineer building and operating data pipelines and analytics infrastructure for LeoLabs' Insights team. Collaborating across teams to enable real-time space domain awareness capabilities.

Posted 4/15/2026full-timeRemote • 🇺🇸 United StatesJuniorWebsite

Tech Stack

Tools & technologies

AirflowApacheAWSCloudETLKafkaPythonSparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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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