<p>About the Team:</p> <p>The Additive Technology team operates at the frontier of research and development, where creativity meets capability. This is an R&D-driven environment where problems are open-ended and solutions are yours to define. You'll work alongside welders, robotics engineers, data scientists, and systems engineers at the intersection of hardware and software, creating an end-to-end additive manufacturing platform that serves a wide variety of applications. From exploring new materials to unlocking faster print speeds, to designing complex, organic geometries that can't be built any other way, it's high-impact work that sets the foundation for the future of additive manufacturing.</p> <p>About the Role:</p> <p>As a part of our advanced additive manufacturing R&D team, you will 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. This includes developing database structures and schemas, working with communication protocols, and maintaining data collection, processing, and analysis pipelines. You'll need to work with cross-functional stakeholders to gather requirements and evaluate the existing data infrastructure, then use your judgement and expertise to identify where it makes sense to solidify existing approaches and where it makes sense to create new solutions. 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. You will be a close 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.</p> <p>About You:</p> <ul> <li>7+ years experience in the field of data engineering, including time spent owning or leading data infrastructure projects </li><li>Bachelor's degree in Computer Science, Engineering, or related field </li><li>Strong programming skills in Python and SQL and familiarity with other programming languages </li><li>Experience working in a Linux or Unix-based (CLI) development environment and deploying to cloud, local, or hybrid compute infrastructure </li><li>Experience with message protocols for timeseries and telemetry data streaming </li><li>Expertise in designing, querying, and maintaining relational and timeseries databases </li><li>Experience building and maintaining scalable, resilient data pipelines (ETL) for machine learning workflows, including data validation, transformation, labeling, and versioning </li></ul> <p>Nice to haves but not required:</p> <ul> <li>Experience in the field of additive manufacturing </li><li>Experience working with scientific timeseries data from systems such as high-frequency electronics, sensors, audio, video, or robotics </li><li>Proficiency with univariate statistics </li></ul>