Senior Data Visualization Developer

🕒 vor 20 Tagen

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Essnova Solutions, Inc.

Essnova Solutions, Inc.

11 - 50 Mitarbeiter

Gegründet 2005

🏛️ Regierung

🔒 Cybersecurity

🤖 Künstliche Intelligenz

Government • Cybersecurity • Artificial Intelligence

Essnova Solutions, Inc. ist ein Technologie- und Beratungsunternehmen, das IT-Lösungen, Mehrwert-Reseller-Dienste (VAR/ITVAR), geospatiale und umwelttechnische Lösungen, Personalverstärkung sowie Unterstützung im Gesundheitswesen und digitale Bürger- und Kundenerfahrungsdienste für Bundes-, Landes- und Kommunalbehörden, Bildungsinstitutionen, Gewerbe- und Gesundheitskunden bietet. Das Unternehmen ist ein zertifiziertes 8(a) und HUBZone Kleinunternehmen mit mehreren GSA-Vertragsfahrzeugen und konzentriert sich auf Cloud-Migration, Big Data und KI, Informations- und Cybersicherheit, Programm- und Projektmanagement sowie die vollständige Implementierung und den Support von Technologien.

Beschreibung

• 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.

🎯 Anforderungen

• 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

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