Data Engineer - Top Secret Clearance… at SpaceX · Hawthorne

Summary: SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. The Data Engineer will develop scalable data pipelines and applications to support mission-critical operations, collaborating closely with peers to enhance system architecture and design. Responsibilities: - Develop highly reliable and scalable data pipelines to empower engineers across SpaceX - Create new applications that improve how the business at SpaceX operates - Collaborate with peers on architecture, design, and code reviews - Build prototypes to prove out key design concepts and quantify technical constraints - Own all aspects of software engineering and product development - Deep dive into business problems, find efficient solutions and apply first principles thinking Required Qualifications: - Bachelor's degree in computer science, data science, engineering, math, physics, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree - 1+ years of experience in full stack development, software engineering, data engineering, or data science - Active Top Secret or TS/SCI clearance - Willing to work extended hours and weekends when needed Preferred Qualifications: - Programming experience in Python, C#, Java, Scala, Go or similar languages - Experience working with in-stream, big data processing and analytics using Apache Kafka, Spark, Flink, SQL or similar - Experience with relational and non-relational databases, data lakes e.g. HBase, Hive, Delta Lake, PostgreSQL, CockroachDB or similar - Experience with data exploration tools like Grafana, Jupyter Notebooks, Metabase, PowerBI or similar - Good understanding of version control, testing, continuous integration, build, deployment and monitoring - Some front-end experience in Angular, React, or similar JavaScript framework - Good understanding of statistics, machine learning algorithms and frameworks Required Skills: Data engineering, Big data processing, Python Important Skills: Full stack development, Relational databases, Data exploration tools Nice-to-Have Skills: Machine learning, Version control, Front-end development Benefits: Long-term incentives, in the form of company stock, stock options, or long-term cash awards, Potential discretionary bonuses, Ability to purchase additional stock at a discount through an Employee Stock Purchase Plan, Comprehensive medical, vision, and dental coverage, Access to a 401(k) retirement plan, Short and long-term disability insurance, Life insurance, Paid parental leave, Various other discounts and perks, 3 weeks of paid vacation, 10 or more paid holidays per year, Paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law