Джерело: CrawlJobs
Ця вакансія не має повного перекладу вибраною мовою. Нижче показано оригінальний зміст.

Data Visualization Engineer

On-site work

Publication date: 04/11/2026

This Data Visualization Engineer is a versatile, hands-on builder who owns how X turns data into decisions. They will administer our current BI platform, build dashboards quickly, and partner with the business to shape a modern, unified reporting and analytics solution.

Responsibilities

Administer our BI platform (currently Tableau Server) as its sole administrator: upgrades, patches, maintenance, license management, SSO, and data drivers; Support 12 department sites and their Site Admins, plus about 700 users, including owning the tbl-site-admins and tableau Slack channels; Handle all BI requests through Slack and Jira (about 12 a week): access, ownership changes, data source issues, troubleshooting, and fixing bugs; Communicate proactively with Site Admins, users, and developers about downtime, upgrades, and widespread issues; Quickly design and build dashboards and data products that turn complex data into clear, decision-ready insight; Maintain an inventory of existing reports and dashboards and working with business owners to decide what to migrate, rebuild, or retire; Help stakeholders pick the right solution for each use case (dashboard, custom application, Grok team bot, and so on) and leading the migration to it; Set standards for data access, row-level security, and visualization quality

Requirements

Bachelor's degree in a STEM or engineering discipline; 1+ years of experience working in engineering or operations/process development (internships may qualify)

Nice to have

Experience with SQL, including complex joins, window functions, and performance tuning; Experience in 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; 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

Benefits

Equity; Comprehensive medical, vision, and dental coverage; Access to a 401(k) retirement plan; Short and long-term disability insurance; Life insurance; Various other discounts and perks
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