IT Data Engineer

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. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

ABOUT THE ROLE:

At SpaceXSI, the IT Data Engineering team implements and supports applications to help internal customers meet their operational needs. We establish processes for continual improvement, guide administration, and partner with multiple stakeholders on a project-to-project basis. Our mission is to keep the business running effectively while maintaining a healthy application environment.

RESPONSIBILITIES:

• Help lead SpaceXSI's data strategy by implementing established ETL patterns, creating and supporting dependable infrastructure, and reusable components.
• Partner with business and engineering teams to prioritize requests and consistently deliver excellent results against time-sensitive priorities.
• Collaborate effectively in a fast-paced environment using strong interpersonal communication skills.

BASIC QUALIFICATIONS:

• BA/BS in a related field (Computer Science degree preferred)
• Minimum 5 years of relevant experience, preferably in an enterprise environment
• Strong experience with databases (Vertica, MySQL, or similar) and advanced SQL
• Java development experience (Spring, JEE/JSE) and proficiency in Python or other modern languages
• Hands-on experience with integrations, APIs, and message queuing technologies (e.g., Kafka, RabbitMQ)
• Experience working with 3rd party APIs (Salesforce, Workday, etc.)
• Background working in an Agile environment

PREFERRED SKILLS AND EXPERIENCE:

• Experience with API Gateways (e.g., Kong), RAML, and REST-based APIs
• Designing and deploying scalable, reliable, high-volume data integrations and real-time pipelines
• Big data technologies (Hadoop, MongoDB, HBase, Cassandra)
• On-prem and cloud enterprise solutions (Oracle, Salesforce, Workday)