Relativity Space-posted 4 months ago
$194,000 - $249,000/Yr
Full-time • Senior
Long Beach, CA
1,001-5,000 employees

At Relativity Space, we’re building rockets to serve today’s needs and tomorrow’s breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that’s just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven’t been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you’re in propulsion, manufacturing, software, avionics, or a corporate function, you’ll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we’re writing together. Now is a unique moment in time where it’s early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us.

  • Take ownership of data architectures and pipelines for process, sensor, robotics, and other data produced during the operation of Relativity's proprietary 3D printing technology, with a critical emphasis on timeseries data.
  • Develop database structures and schemas, work with communication protocols, and maintain data collection, processing, and analysis pipelines.
  • Work with cross-functional stakeholders to gather requirements and evaluate the existing data infrastructure.
  • Identify where it makes sense to solidify existing approaches and where it makes sense to create new solutions.
  • Communicate planning, progress, risks, and blockers with other teams and leadership.
  • Describe blockers and resource needs to a variety of stakeholders.
  • Partner with the Machine Learning team to ensure that data are ready to be read into model training pipelines and assist with data solutions for model repositories and inference data.
  • 7+ years experience in the field of data engineering, including time spent owning or leading data infrastructure projects.
  • Bachelor's degree in Computer Science, Engineering, or related field.
  • Strong programming skills in Python and SQL and familiarity with other programming languages.
  • Experience working in a Linux or Unix-based (CLI) development environment and deploying to cloud, local, or hybrid compute infrastructure.
  • Experience with message protocols for timeseries and telemetry data streaming.
  • Expertise in designing, querying, and maintaining relational and timeseries databases.
  • Experience building and maintaining scalable, resilient data pipelines (ETL) for machine learning workflows, including data validation, transformation, labeling, and versioning.
  • Experience in the field of additive manufacturing.
  • Experience working with scientific timeseries data from systems such as high-frequency electronics, sensors, audio, video, or robotics.
  • Proficiency with univariate statistics.
  • Competitive salary and equity.
  • Generous PTO and sick leave policy.
  • Parental leave.
  • Annual learning and development stipend.
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