Data Visualization Engineer

We are seeking a skilled and creative Data Visualization Engineer to join our team. In this role, you will design, develop, and deliver interactive, insight-driven visual solutions that make complex data understandable and actionable for stakeholders across the organization. You bring a rare combination of technical depth and design sensibility - knowing not just how to build a visualization, but how to make it meaningful, intuitive, and trusted by the people who rely on it. You are someone who can move fluidly between data and design - querying and shaping data on one end, and crafting a polished, purposeful visual experience on the other, Design and develop interactive dashboards, reports, and data visualizations that communicate key metrics, trends, and insights clearly and effectively Partner with business stakeholders, analysts, and data teams to gather requirements, understand KPIs, and translate business questions into compelling visual narratives Select the most appropriate visualization types, tools, and techniques based on the nature of the data and the needs of the audience Connect visualization tools to enterprise data sources including cloud data platforms, relational databases, APIs, and flat files Build and optimize underlying data models, semantic layers, and calculated metrics that power accurate and performant visualizations Apply data visualization best practices around layout, color, typography, accessibility, interactivity, and information hierarchy Establish and maintain visualization standards, design templates, style guides, and component libraries to ensure consistency across the reporting environment Optimize dashboard performance through efficient data modeling, query tuning, caching strategies, and incremental data loading Collaborate with data platform engineers and modelers to surface data quality issues and ensure visualizations are built on reliable, well-documented data assets Support self-service analytics adoption by developing user documentation, training materials, and reusable report templates Conduct peer reviews of visualization work and provide technical guidance to other contributors in the BI environment

6+ years of experience in data visualization, business intelligence engineering, or a closely related discipline Expert proficiency in one or more leading visualization platforms such as Power BI, Tableau, Looker, Qlik Sense, or equivalent Strong SQL skills with the ability to write, optimize, and troubleshoot queries against large relational and cloud-based datasets Solid understanding of data modeling concepts including star and snowflake schemas, relationships, aggregations, and calculated fields as applied to BI semantic layers Experience connecting visualization tools to modern data platforms such as Snowflake, Databricks, BigQuery, Azure Synapse, or Amazon Redshift Strong grasp of data visualization principles and UX best practices including accessibility standards (WCAG), color theory, visual hierarchy, and responsive design Demonstrated ability to gather and translate business requirements into polished, production-ready dashboards and reports Proven ability to work independently, manage a pipeline of deliverables, and communicate proactively in a contractor or consulting capacity Preferred Qualifications Proficiency in more than one visualization platform is strongly preferred Familiarity with Python or R for data preparation, statistical analysis, or advanced analytics integration within visualization environments Knowledge of data governance, data cataloging, and metadata management practices and how they relate to trustworthy reporting Experience building visualization solutions within a Center of Excellence (COE), enterprise BI governance framework, or centralized data team Familiarity with version control (Git) and CI/CD practices applied to BI development and deployment workflows Background in regulated industries such as financial services, healthcare, retail, or government is a plus Relevant certifications in Power BI, Tableau, Looker, or cloud data platforms are welcome