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Relativity Space · 5 months ago

Staff Data Software Engineer

Long Beach, California

Full-time

Onsite

Senior Level, Lead/Staff

$194K/yr - $249K/yr

7+ years exp

Relativity Space is building rockets to meet today’s needs and tomorrow’s breakthroughs. As a Staff Data Software Engineer, you will take ownership of data architectures and pipelines, focusing on timeseries data produced during the operation of their proprietary 3D printing technology, while collaborating with cross-functional teams to enhance existing data infrastructure.

3D TechnologyAerospaceArtificial Intelligence (AI)Manufacturing

Responsibilities

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 closely 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

Qualification

Data engineeringPythonSQLData pipelines (ETL)Relational databasesTimeseries databasesLinux/UnixMessage protocolsCloud infrastructureData validationData transformationData labelingData versioningUnivariate statisticsAdditive manufacturingScientific timeseries data

Required

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