Relativity Space is building rockets to serve today's needs and tomorrow's breakthroughs, and the Additive Technology team needs to create an end-to-end additive manufacturing platform that serves a wide variety of applications by developing data architectures and pipelines for process, sensor, robotics, and other data produced during the operation of Relativity's proprietary 3D printing technology.
Requirements
- 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
Responsibilities
- Take ownership of data architectures and pipelines for process, sensor, robotics, and other data that are produced during the operation of Relativity's proprietary 3D printing technology, with a critical emphasis on timeseries data.
- Developing database structures and schemas
- working with communication protocols
- maintaining data collection, processing, and analysis pipelines.
- 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.
- partner with the Machine Learning team, ensuring that data are ready to be read into model training pipelines and assisting with data solutions for model repositories and inference data.
Other
- 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
- You must communicate planning, progress, risks, and blockers with other teams and leadership and be able to describe blockers and resource needs to a variety of stakeholders.
- Proficiency with univariate statistics
- We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
