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Python Dash Plotly Jobs (Flexible Options) Near Me

Netpace

Devops/System Manager

San Mateo, CA · On-site

Job Title Project(s) - system manager for Plotly, Dash Enterprise. Administering, deploying, and managing user access for Python-based webapps deployed to the Plotly platform. Manage upgrades of ...

E-Solutions

Data Scientist - ML, Python

Mclean, VA · On-site

Experience using reporting libraries in Python (Pandas, Matplotlib, Plotly, Dash) to build dashboards and reports related to security and access control metrics. • Communication Skills: Ability to ...

Ziosk

Full-Stack Data BI Engineer (on-site)

Plano, TX · On-site

Required : • 4+ years of professional experience building data applications, BI tools, or analytics products. • Strong Python proficiency, including production experience with Plotly Dash ...

Omni Inclusive

Data Sciencist

Washington, DC · On-site

$57 - $78.50/hr

Experience using reporting libraries in Python (Pandas, Matplotlib, Plotly, Dash) to build dashboards and reports related to security and access control metrics. • Communication Skills: Ability to ...

Ziosk

Full-Stack Data BI Engineer (on-site)

Plano, TX · On-site

Required : • 4+ years of professional experience building data applications, BI tools, or analytics products. • Strong Python proficiency, including production experience with Plotly Dash ...

New Day Executive Search

Senior Data Engineer

Plano, TX · On-site

$101K - $138K/yr

Strong Python expertise, including building and optimizing data pipelines, ETL processes, and ... Experience building interactive data applications using Plotly Dash or Dash Enterprise.

TriOptus LLC

Python Full Stack Developer

Boston, MA · On-site

... Plotly, Dash) preferred. * Experience using Version Control (Git) required. * Experience using ... Strong Python, SQL and experience using Agentic Programming tools (Github Copilot, Claude) required.

Lockheed Martin

Systems Engineer - Junior

Huntsville, AL · On-site

... Dash, plotly, bokeh, matplotlib) • Experience with developing/integrating custom python tools for data extraction, transformation, visualization, and storage • Experience with CMake • Familiar ...

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Python Dash Plotly information

What are the key skills and qualifications needed to thrive as a Python Dash Plotly Developer, and why are they important?

To excel as a Python Dash Plotly Developer, you need strong proficiency in Python programming, data visualization principles, and experience with the Dash and Plotly libraries, often backed by a degree in computer science or a related field. Familiarity with tools such as Git for version control, REST APIs, and cloud platforms, as well as knowledge of front-end technologies like HTML and CSS, is typically required. Excellent problem-solving, attention to detail, and the ability to communicate complex data insights clearly are crucial soft skills. These skills enable the creation of interactive, scalable data applications that effectively support business decision-making.

What are some common challenges faced by professionals working with Python Dash and Plotly in a collaborative team environment?

Collaborating on Python Dash and Plotly projects often involves managing code versioning, ensuring consistent styling, and coordinating updates to interactive dashboards. Teams may face challenges integrating user feedback quickly while maintaining code quality and performance, particularly when dashboards grow in complexity. Effective communication about data sources and deployment processes, as well as clear documentation, are key to overcoming these hurdles. Regular code reviews and adopting best practices for modular code can help ensure smooth collaboration and scalable dashboard development.

What are Python Dash Plotly developers?

Python Dash Plotly developers are professionals who specialize in building interactive web applications and data visualizations using the Dash framework and Plotly library in Python. Dash is a powerful open-source framework designed for creating analytical web applications without requiring extensive knowledge of front-end technologies. These developers use Dash and Plotly to create dashboards, data analytics tools, and visual reports that allow users to interact with complex data in real time. Their work often involves integrating data sources, designing user interfaces, and deploying applications for business intelligence or scientific research.

What is the difference between Python Dash Plotly vs Data Analyst?

AspectPython Dash PlotlyData Analyst
Primary RoleDeveloping interactive data visualization dashboardsAnalyzing data to generate reports and insights
Skills RequiredPython, Dash, Plotly, JavaScript basicsExcel, SQL, statistical analysis, data visualization
Work EnvironmentData visualization development teams, tech companiesBusiness units, consulting firms, finance, marketing
CertificationsPython certifications, data visualization coursesData analysis, Excel, SQL certifications

Python Dash Plotly professionals focus on creating interactive dashboards using Python, while Data Analysts interpret data and generate reports. Both roles require data skills but differ in technical focus and end goals.

What cities are hiring for Python Dash Plotly jobs? Cities with the most Python Dash Plotly job openings:
What states have the most Python Dash Plotly jobs? States with the most job openings for Python Dash Plotly jobs include:
What job categories do people searching Python Dash Plotly jobs look for? The top searched job categories for Python Dash Plotly jobs are:
Python Dash Plotly jobs near you
Senior Data Visualization Developer

Senior Data Visualization Developer

Essnova Solutions, Inc.

Huntsville, AL • On-site, Remote

Full-time

Posted 8 days ago

Job description

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. Our expertise spans geospatial, healthcare, and environmental solutions, and we are committed to supporting agencies with high-impact, compliance-driven projects.
We are seeking a Senior Data Visualization Developer to serve as the technical lead for the National Center for Health Statistics (NCHS) visualization and solutions development. This role is pivotal in driving the end-to-end lifecycle of data visualization products, ensuring accuracy, accessibility, and compliance with federal standards. You will architect reusable visualization components, bridge communication between statisticians and developers, and uphold rigorous data validation and accessibility requirements.
Key responsibilities include:
  • 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
Required Qualifications:
  • 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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