Data Pipeline Engineer

About Relativity Space: Relativity Space generates vast amounts of data from rocket tests, simulations, and operational systems. Our data pipeline engineering team builds the infrastructure to collect, process, and analyze this information. This role is critical for turning raw telemetry into actionable insights that drive our engineering and development processes.\n\nKey Responsibilities:\n\n Design and implement scalable data processing pipelines\n Develop ETL/ELT workflows for large datasets\n Build monitoring and alerting systems for data infrastructure\n Optimize data storage and retrieval systems\n Collaborate with engineering teams to define data requirements\n Ensure data quality and integrity across systems\n\nRequired Skills:\n\n Experience with data engineering tools and frameworks\n Knowledge of distributed computing systems\n Familiarity with SQL and NoSQL databases\n Proficiency in scripting languages (Python/Shell)\n Understanding of data warehousing concepts\n Experience with cloud data services\n\nIdeal Candidate:\n\nWe’re seeking a data pipeline engineer who can architect robust systems capable of handling the unique demands of aerospace data. This role requires technical expertise in data engineering and the ability to work closely with diverse teams. Experience with real-time data processing is a plus, given our need to analyze test results quickly.