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Salary: USD 132,000 - 198,000 / annual
xAI (SpaceXSI) is building Super Intelligence to help humanity understand the universe. The company is developing the full Super Intelligence stack—from Colossus supercomputers to Grok models to applications including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X.
This Data Visualization Engineer role is a hands-on builder position responsible for how X turns data into decisions. You will administer the current BI platform, build dashboards rapidly, and partner with the business to shape a modern, unified reporting and analytics solution.
Key responsibilities include:
- Administering the BI platform (currently Tableau Server) as its sole administrator: upgrades, patches, maintenance, license management, SSO, and data drivers
- Supporting 12 department sites and their Site Admins, plus approximately 700 users, including owning the tbl-site-admins and tableau Slack channels
- Handling all BI requests through Slack and Jira (approximately 12 per week): access, ownership changes, data source issues, troubleshooting, and bug fixes
- Communicating proactively with Site Admins, users, and developers about downtime, upgrades, and widespread issues
- Quickly designing and building dashboards and data products that turn complex data into clear, decision-ready insight
- Maintaining an inventory of existing reports and dashboards and working with business owners to decide what to migrate, rebuild, or retire
- Helping stakeholders pick the right solution for each use case (dashboard, custom application, Grok team bot, etc.) and leading the migration to it
- Setting standards for data access, row-level security, and visualization quality
Requirements:
- Strong SQL, including complex joins, window functions, and performance tuning
- Data visualization and dashboard design: chart selection, UX, and storytelling with data
- Row-level security and data access controls
- Rapid dashboard development in one or more BI tools (Tableau, Looker, Power BI, Superset, or similar)
- Platform administration fundamentals: SSO/SAML, APIs, and monitoring
- Comfort using AI tools to speed up analysis, development, and migrations
Preferred skills and experience:
- Data modeling and warehouse concepts (star schemas, semantic layers) on platforms such as BigQuery, Snowflake, or Databricks
- Python or JavaScript for data prep, automation, or custom visuals
