You will 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.
You will work closely with software engineers, radar and catalog teams, and data scientists to ensure reliable extraction, transformation, and loading (ETL) of mission-critical datasets.
This includes developing scalable batch and streaming data workflows, enabling advanced analytics, and supporting machine learning initiatives.
Your contributions will help transform large volumes of sensor and orbital data into actionable intelligence that enables users to safely operate and manage assets in low-Earth orbit.

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

Data Engineer

Key skills