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Python Dash Plotly Jobs (Flexible Options) Near Me

Airswift

Software Engineer I

Houston, TX · On-site

Create interactive dashboards and visualization tools (e.g., Plotly Dash, Power BI) * Deliver ... Strong, recent hands-on Python experience (actively coding in current or recent roles) * Ability to ...

MetroSys

Software & Analytics Engineer

$40 - $60/hr

The ideal candidate is a hands-on engineer with strong experience in Python development, data ... Experience with data visualization tools and libraries (Plotly, Dash, etc.) * Familiarity with ...

MetroSys

Software & Analytics Engineer

$40 - $60/hr

The ideal candidate is a hands-on engineer with strong experience in Python development, data ... Experience with data visualization tools and libraries (Plotly, Dash, etc.) * Familiarity with ...

Bank of America

Vice President; Structurer

New York, NY · On-site

$225K - $235K/yr

Developing and deploying productiongrade Python applications (using VSCode / PyCharm) to automate ... Integrating pricing engines with data visualization frameworks (e.g., Dash, Plotly) to deliver ...

GRVTY

Data Scientist - Senior

Arnold, MO · Remote

Design and build highly customized visualizations, dashboards, and interactive applications using Python libraries such as Pandas, NumPy, Matplotlib, Plotly, Dash, and Bokeh. * Create bespoke ...

GRVTY

Data Scientist - Senior

Arnold, MO · On-site

Design and build highly customized visualizations, dashboards, and interactive applications using Python libraries such as Pandas, NumPy, Matplotlib, Plotly, Dash, and Bokeh. * Create bespoke ...

GRVTY

Data Scientist - Senior

Arnold, MO · Remote

Design and build highly customized visualizations, dashboards, and interactive applications using Python libraries such as Pandas, NumPy, Matplotlib, Plotly, Dash, and Bokeh. * Create bespoke ...

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Python Dash Plotly information

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 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 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
Software Engineer I

Software Engineer I

Airswift

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 18 days ago

Job description

Type: W2 Contract (C2C is not available)
Duration: 12 months (possibility for extension)
Location: Houston, TX (Hybrid - 80% Onsite / 20% Remote)
Team: Gas & Power
Benefits: Dental, Healthcare, Vision, 401(k)
Role Overview
We are seeking a Software Engineer I to join the Data Analytics team within Trading & Shipping (Trading Analytics & Insights).
This role sits within the Core Strategist team, which provides direct technology support to analysts across global trading hubs. The position has evolved from a data science focus into a software engineering-first role, emphasizing production-quality development, coding rigor, and scalable solutions.
You will partner closely with analysts across oil, gas, and power markets, building high-impact tools, dashboards, and data-driven solutions that directly support commercial decision-making.
What You'll Do
  • Build strong relationships with analysts and commercial stakeholders to understand business needs and deliver technical solutions
  • Develop production-quality Python applications for analytics and decision support
  • Design and implement scalable, reusable software components and frameworks
  • Create interactive dashboards and visualization tools (e.g., Plotly Dash, Power BI)
  • Deliver robust, efficient, and maintainable code aligned with enterprise best practices
  • Provide day-to-day technical support and promote best practices across the analyst community
  • Contribute to shared global model libraries and analytics tooling
  • Collaborate with central IT teams on cloud platforms, data architecture, and strategic technology initiatives
  • Act as a technical authority within the analyst community
What We're Looking ForMust-Haves
  • Strong, recent hands-on Python experience (actively coding in current or recent roles)
  • Ability to write clean, production-ready, and efficient code
  • Solid understanding of algorithms, data structures, and code performance
  • Experience working with:
    • pandas
    • numpy
    • Jupyter
  • Strong problem-solving, analytical, and mathematical skills
  • Fluency in English (written and verbal)
Highly Valued Skills
  • Experience with Object-Oriented Programming (OOP) and design patterns
  • Ability to design scalable and reusable code architectures
  • Knowledge of SQL and relational databases
  • Familiarity with REST APIs and web services
  • Exposure to cloud platforms (preferably AWS)
  • Experience with software development best practices:
    • Version control (Git)
    • Unit testing
    • CI/CD pipelines (e.g., Azure DevOps)
Nice-to-Have
  • Experience with data visualization tools (Plotly, Dash, Power BI)
  • Familiarity with Dataiku or similar data science platforms
  • Exposure to time series forecasting, econometrics, or optimization
  • Experience in energy markets (oil, gas, LNG, power)
  • Knowledge of the scientific Python stack:
    • scikit-learn
    • scipy
    • statsmodels
  • Interest in UX and user-focused design
  • Experience in large-scale data analysis or predictive modeling environments (e.g., energy, finance, hedge funds)
Key Traits of a Successful Candidate
  • Actively coding in Python in recent roles (not just historical experience)
  • Comfortable with live coding and technical assessments
  • Writes well-structured, maintainable, and testable code
  • Thrives in a fast-paced, collaborative, and technical environment
  • Able to bridge the gap between business needs and technical delivery
Education
Bachelor's degree in:
  • Computer Science
  • Software Engineering
  • Mathematics
  • Physics
  • Electrical Engineering
  • Or a related technical field

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