Senior Data Visualization Developer

🕒 il y a 14 jours

🏈 Alabama – Distant

🏈 Alabama – Remote

⏰ Temps Plein

🟠 Senior

🖥 Ingénieur Logiciel

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Recevoir des emails pour des emplois à distance

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Essnova Solutions, Inc.

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2005

🏛️ Gouvernement

🔒 Cybersecurity

🤖 Intelligence artificielle

Government • Cybersecurity • Artificial Intelligence

Essnova Solutions, Inc. est une entreprise de services technologiques et professionnels qui fournit des solutions informatiques, des services de distributeur à valeur ajoutée (VAR/ITVAR), des solutions géospatiales et environnementales, de l'augmentation de l'effectif et un soutien en matière de santé, ainsi que des services d'expérience numérique pour les citoyens et les clients aux gouvernements fédéral, étatique et local, à l'éducation, aux clients commerciaux et du secteur de la santé. La société est une petite entreprise certifiée 8(a) et HUBZone avec plusieurs véhicules de contrats GSA et se concentre sur la migration vers le cloud, les mégadonnées et l'IA, l'information et la cybersécurité, la gestion de programme et de projet, et la mise en œuvre et le soutien technologique de bout en bout.

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.

🎯 Exigences

• 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