Data Visualization Engineer

Globenet Consulting Corp•BELLEVUE, WA

1d•Hybrid

About The Position

We’re seeking a Data Visualization Engineer (6+ years) who combines strong BI engineering with design intuition to deliver interactive dashboards and insight-driven visual narratives. You’ll translate business questions into clear, trusted visuals, connect BI tools to modern data platforms, and optimize models/semantic layers to improve performance and adoption.

Requirements

6+ years in data visualization/BI engineering (or related).
Expert in Power BI, Tableau, Looker, or Qlik Sense.
Strong SQL for large-scale querying and optimization.
Strong BI modeling knowledge: semantic modeling, star/snowflake schemas, measures, aggregations.
Experience integrating BI tools with Snowflake, Databricks, BigQuery, Azure Synapse, or Redshift.
Strong understanding of visualization principles, UX, and accessibility standards.
Proven delivery of polished, production-ready dashboards.
Ability to work independently and manage multiple deliverables.

Nice To Haves

Multiple BI tools; Python/R for data prep; Git/CI/CD for BI.
Governance/catalog exposure; experience in regulated industries.
Relevant BI or cloud certifications.

Responsibilities

Build interactive dashboards, reports, and visualizations that communicate KPIs, trends, and insights.
Translate business needs into effective visual stories, measures, and calculated metrics.
Select the right visualization patterns, layouts, and interactions for different audiences.
Connect BI tools to enterprise sources (cloud warehouses, relational DBs, APIs, files).
Design and optimize semantic layers/data models (star/snowflake, relationships, aggregations).
Ensure strong UX and accessibility (WCAG): hierarchy, color, typography, and usability.
Maintain visualization standards, templates, and style guides for consistency.
Improve performance through query tuning, caching, incremental refresh, and efficient modeling.
Partner with data engineers to ensure data quality, reliability, and documentation.
Enable self-service analytics via training, documentation, and reusable templates.
Perform peer reviews and provide technical guidance within the BI environment.