Senior Data Visualization Developer

About the role

The Senior Data Visualization Developer will serve as technical lead for the National Center for Health Statistics (NCHS) visualization effort, driving the end‑to‑end lifecycle of data visualization products, ensuring statistical accuracy, accessibility and federal compliance while architecting reusable components and bridging statisticians and developers.

About the company

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, with expertise in geospatial, healthcare and environmental solutions and a focus on high‑impact, compliance‑driven projects.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Statistics, Information Systems or a related field
• 7+ years of data visualization development experience in federal agencies or compliance‑driven environments
• Advanced proficiency in at least three of: Tableau, Power BI, R (ggplot2/Shiny/R Markdown), Python (plotly/Dash/pandas/matplotlib), D3.js, with working proficiency in the remaining tools
• Experience serving as technical lead for end‑to‑end data visualization development, including requirements, preprocessing, design, build, review, accessibility testing, deployment and documentation
• Experience presenting statistical data, including confidence intervals, weighted estimates and suppression rules
• Experience conducting Section 508/WCAG 2.0 Level AA accessibility testing using automated tools (axe or WAVE) and manual screen‑reader testing (JAWS or NVDA)
• Proficiency with Git for code reviews and embedded documentation, and SQL for analytics/visualization data needs
• Experience translating requirements between statisticians and developers by producing implementable specifications (data models, query patterns, annotated wireframes)
• Experience administering and reporting with Adobe Analytics or equivalent digital analytics platforms
• Active Tier 4/High Risk Public Trust (Level 6+) clearance at time of proposal submission and eligibility for HSPD‑12/PIV credentialing
• Located in the United States and able to overlap core working hours in Eastern Time
• Master’s degree in Computer Science, Data Science, Statistics, Information Systems or a related field (preferred)
• Experience with NCHS, CDC or federal statistical data environments (preferred)
• Experience applying machine learning techniques to analysis or visualization tasks (preferred)
• Familiarity with HHS EPLC or equivalent federal project lifecycle methodologies (preferred)