Application Software Engineer, Data - Top… at SpaceX · Hawthorne

Summary: SpaceX is actively developing technologies to enable human life on Mars. The Application Software Engineer will create mission critical applications to manage data from various assets and improve operational efficiencies across the company. 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 - Willing to work extended hours and weekends when needed - To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. 1157, or (iv) Asylee under 8 U.S.C. 1158, or be eligible to obtain the required authorizations from the U.S. Department of State 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: Full stack development, Data engineering, Big data processing, Programming in Python Important Skills: Relational databases, Data exploration tools, Version control Nice-to-Have Skills: Machine learning, Front-end experience, Collaboration 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, 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