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Senior IT Data Engineer

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Description

  • At SpaceXAI, 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
  • Help lead SpaceXAI’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

Benefits

  • Health and wellness: Comprehensive health insurance including medical, dental, vision, and disability coverage
  • Life and family: Life and AD&D insurance and fertility benefits to ensure our team’s well-being and peace of mind
  • Flexible vacation: We work hard but avoid burn out. Take time off when you need it
  • Visa sponsorship: We support international talent with visa sponsorship to join our team
  • 401(k) plan: Retirement savings plan to secure your financial future
  • Experience working with 3rd party APIs (Salesforce, Workday, etc.)
  • Strong experience with databases (Vertica, MySQL, or similar) and advanced SQL
  • Hands-on experience with integrations, APIs, and message queuing technologies (e.g., Kafka, RabbitMQ)
  • Background working in an Agile environment
  • Java development experience (Spring, JEE/JSE) and proficiency in Python or other modern languages
  • Minimum 5 years of relevant experience, preferably in an enterprise environment
  • BA/BS in a related field (Computer Science degree preferred)
  • 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)
  • Scala / Scalding
  • Deep knowledge of access control and data security
  • Leading Data/BI/Analytics projects with a customer-first approach
  • Custom ETL design, implementation, and maintenance
  • Performance monitoring, error logging, and troubleshooting Java applications

Skills

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See also

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