Data Visualization / Business Intelligence (BI) Engineer

Position overview

Dashboard and data delivery

• Own dashboard design patterns, accessibility and usability standards, data-to-visual mapping, and visual QA.
• Deliver BI solutions on platforms such as Power BI, Tableau, Kibana, and Databricks Dashboards.
• Create governed semantic models, calculation logic, and BI-ready datasets from Lakehouse tables and Databricks SQL Warehouses.
• Implement row- and column-level security and governed tags through Unity Catalog.
• Set patterns for incremental refresh, DirectQuery or live connections, and aggregation tables to balance freshness, performance, and cost.
• Partner with Data Engineering to align medallion architecture and upstream tables and views with BI performance, schema stability, and quality needs.

Governance, support, and enablement

• Coordinate privacy and governance controls, lineage, sharing rules, and privacy considerations in BI tools and export pathways.
• Support BI assets and incidents; diagnose refresh, query, regression, and access issues, and maintain runbooks, monitoring, and alerts.
• Lead stakeholder demos, office hours, and training; maintain data dictionaries, metric definitions, and usage guides.
• Mentor BI engineers and analysts and apply quality gates for peer reviews, DAX/SQL testing, visualization accessibility, and reproducible deployments.
• Be available to the customer by telephone Monday through Friday, 0900–1700 EST.

Qualifications and requirements

• Ability to obtain and maintain a Public Trust clearance.
• At least five years building and operating production-grade dashboards, including four years within the last six years; experience with at least two listed dashboard platforms or custom web UI dashboards.
• Bachelor’s degree in information systems, computer science, engineering, analytics, or related field, or eight years of equivalent experience in lieu of a degree.
• At least one listed BI credential is required: Power BI Data Analyst Associate (PL-300) or successor; Tableau Certified Data Analyst or Tableau Desktop Specialist plus demonstrable experience; Elastic Certified Analyst (Kibana); or Qlik Sense Business Analyst (QSBA).
• Hands-on SQL and medallion-pattern experience, including authoring governed SQL views and BI-ready tables.
• Proficiency with Git-based workflows for BI assets, dataset versioning, dashboards, and deployment scripts; familiarity with declarative bundles or BI CI/CD is stated as a requirement.
• Databricks Lakehouse Fundamentals, Databricks SQL, and Databricks Data Engineer credentials are preferred, not required.
• Cloud certifications are mentioned without further detail.