ironquill.tech/board

$ cat jobs/data-engineer-stratolaunch-11cd4d717f69.json

Data Engineer

Stratolaunch·Worldwide·Mojave, CA·mid
pythonrustpostgresdockerllmci/cdjenkins
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Stratolaunch is a technology accelerator that engineers operationally realistic testing at Mach 5+. Our air-launched, Talon testbeds are reusable, cost-effective platforms that enable routine access to the hypersonic environment. We deliver flight data critical to validating system performance and achieving rapid technology deployment. Together with our customers, we drive innovations that are imperative to advancing national security. The Data Engineer contributes to the overall data architecture and strategy across the company for our vehicle design, manufacture, flight test, and business teams. The Enterprise Software Team integrates a mix of COTS and custom tools to provide the right data to the right user at the right time. The data engineer will use standard software development and ETL tools to move, store, and display data. Stratolaunch maintains a suite of tools and processes, both deterministic and ML-based, for vehicle design and operation that could be included in the responsibilities of this position depending on the chosen candidates’ interest and experience. ESSENTIAL RESPONSIBILITIES Design and implementation of data pipelines. Serve as a subject matter expert for data system architecture development and support. Collaborate with stakeholders to downselect data technologies. Moving production and test data through various data systems for consumption. QUALIFICATIONS Required Ability to construct highly available systems. Experience with one or more programming languages, e.g. Python, Rust, C, MATLAB. Administration of relational and non-relational databases, e.g. PostgreSQL, MongoDB. Containerization, orchestration, and deployment, e.g. Docker, Dagster. Comfort in CLI tools and shell scripting, i.e. bash, batch. Knowledge of DevSecOps & CI/CD systems, e.g. Jenkins, Gitlab, Bamboo. Preferred Aerospace experience Familiarity with tools and workflows associated with data visualization & analytics. ML Ops - hosting & maintaining LLM & RAG systems. Machin

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