Senior Data Engineer

Vast is developing next-generation space stations and space infrastructure using an incremental, hardware-rich, and low-cost approach. Vast is rapidly developing its multi-module Haven Station to ensure a continuous human presence in space for America and its allies, enabling advanced microgravity research and manufacturing, and unlocking a new space economy for government, corporate, and private customers. Haven Demo’s 2025 success made Vast the only operational commercial space station company to fly and operate its own spacecraft. Next, Haven-1 is expected to become the world’s first commercial space station when it launches in 2027, followed by additional Haven modules. Additionally, the company recently announced Vast Satellite, a high-power satellite product line leveraging its space station components and the heritage of Haven Demo. Headquartered in Long Beach, California, and with more than 1,000 employees and over a billion dollars in private capital, Vast has built the facilities required to manufacture and operate America’s next space station. The company plans to develop future habitats and systems for the Moon and Mars, dedicated space stations for government partners, and other crewed systems that will unlock the expanding long-term space economy. Vast is looking for a Senior Data Engineer, reporting to the Senior Director of Information Systems, to support the [... source excerpt omitted ...] es that will be required for the design and build of artificial-gravity human-rated space stations. This will be a full-time, exempt position located in our Long Beach location. Responsibilities: Design, architect, and implement scalable enterprise data infrastructure including data lakes, warehouses, and real-time streaming platforms Build and maintain robust data pipelines that feed internal AI/ML tools and enable advanced analytics across all departments Own end-to-end data architecture from ingestion through transformation to consumption, ensuring data quality, reliability, and security Integrate data from complex engineering systems (PLM/Teamcenter), manufacturing systems ( [... source excerpt omitted ...] shop floor systems, test equipment, and operational technology (OT) environments Collaborate with Engineering, Manufacturing, Supply Chain, and business teams to understand data requirements and deliver BI/AI-ready datasets Lead and mentor a high-performing data engineering team, establishing technical standards and fostering a culture of extreme ownership Evaluate and implement cutting-edge data technologies including cloud-native services, vector databases, and modern data stack tools Optimize data pipelines for performance, cost-efficiency, and scalability Implement monitoring, alerting, observability, and disaster recovery capabilities for mission-critical data systems Pro