Senior Data Visualization Developer

🕒 May 27

🏈 Alabama – Remote

🏈 Alabama – Remote

⏰ Full Time

🟠 Senior

🖥 Software Engineer

👻 Ghost score 50%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Essnova Solutions, Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2005

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Essnova Solutions, Inc. is a technology and professional services firm that provides IT solutions, value‑added reseller (VAR/ITVAR) services, geospatial and environmental solutions, staff augmentation and healthcare support, and digital citizen/customer experience services to federal, state & local governments, education, commercial, and healthcare clients. The company is a certified 8(a) and HUBZone small business with multiple GSA contracting vehicles and focuses on cloud migration, big data and AI, information and cybersecurity, program and project management, and end‑to‑end technology implementation and support.

📋 Description

• 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.

🎯 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 the following: 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 • Currently located in the United States and able to overlap core working hours in Eastern Time • Preferred Qualifications: • Master’s degree in Computer Science, Data Science, Statistics, Information Systems, or a related field • Experience with NCHS, CDC, or federal statistical data environments • Experience applying machine learning techniques to analysis or visualization tasks • Familiarity with HHS EPLC or equivalent federal project lifecycle methodologies