Data Engineer

🕒 June 23

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🚰 Data Engineer

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LeoLabs

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🚀 Aerospace

🔧 Hardware

☁️ SaaS

Aerospace • Hardware • SaaS

LeoLabs is a commercial provider of persistent orbital intelligence and space domain awareness services. The company operates a network of ground-based, rapidly deployable radars and a cloud-based, AI-enabled platform to track and catalog objects in low Earth orbit, deliver real-time conjunction alerts, threat assessments, launch support, and space traffic management data for commercial and government customers. LeoLabs combines radar hardware, authoritative datasets, and SaaS analytics to help operators protect assets, avoid collisions, and manage launch and on-orbit operations.

📋 Description

• 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. • This early career role is primarily hands-on development, with opportunities to grow into increased ownership of data platform design and optimization.

🎯 Requirements

• 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 (preferred) • Familiarity with Delta Lake, Lakehouse architectures, or large-scale telemetry data processing (preferred) • Exposure to streaming data systems such as Kafka or Spark Structured Streaming (preferred) • Experience with workflow orchestration tools such as Airflow or Databricks Workflows (preferred) • Background in orbital mechanics, aerospace, physics, or applied mathematics (preferred) • Experience building analytics datasets or semantic models for BI tools (preferred) • Active U.S. security clearance or ability to obtain one (preferred)

🏖️ 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