Senior Data Visualization Developer

Essnova Solutions, Inc. is an award-winning SBA 8(a) and HUBZone-certified small business delivering advanced technology and professional services to federal, state, local, and commercial clients. Our expertise spans geospatial, healthcare, and environmental solutions, and we are committed to supporting agencies with high-impact, compliance-driven projects. We are seeking a Senior Data Visualization Developer to serve as the technical lead for the National Center for Health Statistics (NCHS) visualization and solutions development. This role is pivotal in driving the end-to-end lifecycle of data visualization products, ensuring accuracy, accessibility, and compliance with federal standards. You will architect reusable visualization components, bridge communication between statisticians and developers, and uphold rigorous data validation and accessibility requirements. Key responsibilities include: Lead the technical execution of NCHS visualization and solutions development tasks, overseeing the full development lifecycle from requirements gathering to deployment and documentation. Make strategic decisions on visualization tool selection (e.g., Tableau, Power BI, R/Shiny, Python/Dash, D3.js) and architect/build/maintain a reusable component library for NCHS. Develop and maintain automated data validation scripts to ensure compliance with statistical accuracy and suppression logic. Translate requirements between statisticians and developers by producing implementable specifications, including data models, query patterns, suppression logic rules, and annotated wireframes. Conduct and oversee Section 508/WCAG accessibility testing using automated and manual screen reader tools in coordination with project management methodology. Provide technical guidance on data architecture, technology risk assessment, and enterprise architecture artifacts, including process and data-flow diagrams. Support Adobe Analytics administration and reporting as needed. Collaborate closely with Data Engineers and PMs to ensure compliance with federal statistical agency standards and protected data requirements.