Data Visualization Engineer

USD 132,000-198,000 per year

MIDDLE

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 3 API @ 3 BI @ 3 Data Modeling @ 3 Data Visualization @ 3 Databricks @ 3 JavaScript @ 3 Jira Looker @ 3 Power BI @ 3 Python @ 3 SQL @ 6 Security @ 3 Slack Snowflake @ 3 Tableau @ 3

Details

This versatile, hands-on role owns how 𝕏 turns data into decisions. The position administers the current BI platform, builds dashboards, and partners with the business to develop a modern, unified reporting and analytics solution.

Responsibilities

Administer the BI platform, currently Tableau Server, including upgrades, patches, maintenance, license management, SSO, and data drivers.
Support 12 department sites and their Site Admins, as well as approximately 700 users.
Own the tbl-site-admins and Tableau Slack channels.
Handle BI requests through Slack and Jira, including access, ownership changes, data source issues, troubleshooting, and bug fixes.
Communicate proactively with Site Admins, users, and developers about downtime, upgrades, and widespread issues.
Design and build dashboards and data products that turn complex data into clear, decision-ready insights.
Maintain an inventory of existing reports and dashboards and work with business owners to determine what to migrate, rebuild, or retire.
Help stakeholders select the right solution for each use case, such as a dashboard, custom application, or Grok team bot, and lead migrations.
Establish standards for data access, row-level security, and visualization quality.

Requirements

Strong SQL skills, including complex joins, window functions, and performance tuning.
Experience with data visualization and dashboard design, including chart selection, user experience, and data storytelling.
Knowledge of row-level security and data access controls.
Rapid dashboard development experience with one or more BI tools, such as Tableau, Looker, Power BI, Superset, or similar.
Platform administration fundamentals, including SSO/SAML, APIs, and monitoring.
Comfort using AI tools to accelerate analysis, development, and migrations.

Preferred Skills and Experience

Data modeling and data warehouse concepts, including star schemas and semantic layers, on platforms such as BigQuery, Snowflake, or Databricks.
Python or JavaScript experience for data preparation, automation, or custom visualizations.