Sr. IT Data Engineer

Reposted 2 Months Ago
Palo Alto, CA, USA
In-Office
135K-260K Annually
Senior level
Information Technology
The Role
Lead implementation of ETL patterns and reliable data infrastructure, partner with business and engineering teams to prioritize and deliver integrations, APIs, and reusable components, and support operational data applications in an Agile environment.
Summary Generated by Built In

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.

SR. IT DATA ENGINEER

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:

  • Bachelor's degree
  • 5+ years of experience in data engineering roles

PREFERRED SKILLS AND EXPERIENCE:

  • Experience working in an enterprise environment
  • Bachelor's degree in computer science
  • 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
  • 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

COMPENSATION AND BENEFITS:

$172,000 - $258,000 USD

Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

Skills Required

  • BA/BS in a related field (Computer Science preferred)
  • Minimum 5 years of relevant experience, preferably enterprise environment
  • Strong experience with databases (Vertica, MySQL, or similar) and advanced SQL
  • Java development experience (Spring, JEE/JSE)
  • 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
  • Strong interpersonal and communication skills
  • 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

xAI Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about xAI and has not been reviewed or approved by xAI.

  • Healthcare Strength — Healthcare is described as comprehensive, including medical, dental, vision, mental health support, and fertility benefits. Additional protections such as disability and life insurance, plus HSA/FSA options, are also outlined.
  • Equity Value & Accessibility — Equity is positioned as a core component of total rewards alongside high base salaries for technical roles. Pre‑IPO stock grants are highlighted as enabling participation in potential company growth.
  • Leave & Time Off Breadth — The package includes flexible or generous PTO, paid holidays, and paid sick days. Company materials also describe flexible vacation policies intended to help manage fast‑paced workloads.

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The Company
HQ: Palo Alto, CA
96 Employees

What We Do

Understand the Universe

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