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Data Engineer

3 months ago
United States
Full-time
Entry Level
Data Engineer
Software Development
Apache Airflow Apache Spark AWS CI/CD Databricks Feature Engineering Git Kafka Machine Learning Python SQL
Apply Now
LeoLabs

LeoLabs

LeoLabs is transforming low Earth orbit with LeoLabs Vertex™, offering unmatched coverage and real-time tracking for safe and efficient space operations worldwide.

Aerospace & Defense
51-250
Founded 2016
$82M raised
View All Jobs 7

Description

  • Build and operate data pipelines and analytics infrastructure for customer insights, internal decision-making, and real-time space domain awareness.
  • Work with software engineers, radar and catalog teams, and data scientists to ensure reliable ETL of mission-critical datasets.
  • Develop scalable batch and streaming data workflows.
  • Support advanced analytics and machine learning initiatives through data engineering work.
  • Transform large volumes of sensor and orbital data into actionable intelligence.
  • Improve pipeline reliability, performance, observability, and data quality.
  • Participate in operational support rotations during critical incidents.
  • Contribute to data platform design, optimization, and roadmap discussions as ownership grows.

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 other 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, with AWS preferred.
  • Understanding of software development best practices, including version control, testing, and CI/CD.
  • Strong analytical skills 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, is preferred.
  • Familiarity with Delta Lake, Lakehouse architectures, or large-scale telemetry data processing is preferred.
  • Exposure to streaming data systems such as Kafka or Spark Structured Streaming is preferred.
  • Experience with workflow orchestration tools such as Airflow or Databricks Workflows is preferred.
  • Background in orbital mechanics, aerospace, physics, or applied mathematics is preferred.
  • Experience building analytics datasets or semantic models for BI tools is preferred.
  • Active U.S. security clearance or ability to obtain one is preferred.

Benefits

  • Flexible remote/hybrid work opportunities for a global workforce.
  • Unlimited paid time off for most roles.
  • Competitive salary and equity packages.
  • Comprehensive health, dental, and vision coverage.
  • Opportunity to work on complex, meaningful missions with real-world impact.
  • Access to the forefront of commercial space operations and defense innovation.

Interested in this position?

Apply directly on the company website

Apply Now

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