Senior Data Visualization Developer

🕒 Maio 27

🏈 Alabama – Remoto

🏈 Alabama – Remote

⏰ Tempo Integral

🟠 Sênior

🖥 Engenheiro de Software

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Essnova Solutions, Inc.

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2005

🏛️ Governo

🔒 Cibersegurança

🤖 Inteligência Artificial

Government • Cybersecurity • Artificial Intelligence

A Essnova Solutions, Inc. é uma empresa de tecnologia e serviços profissionais que oferece soluções de TI, serviços de revenda com valor agregado (VAR/ITVAR), soluções geoespaciais e ambientais, aumento de equipe e suporte a saúde, além de serviços de experiência digital do cidadão/cliente para governos federais, estaduais e locais, educação, clientes comerciais e de saúde. A empresa é uma pequena empresa certificada 8(a) e HUBZone com diversos contratos GSA, e foca em migração para a nuvem, big data e IA, informação e cibersegurança, gestão de programas e projetos, e implementação e suporte de tecnologia de ponta a ponta.

Descrição

• 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.

🎯 Requisitos

• 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