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Python Dash Plotly Jobs (Flexible Options) Near Me

Neuberger

Specialty Finance Senior Engineer

Redwood City, CA · On-site

$127K - $175K/yr

... setting. • Advanced Python skills for data engineering and analytics (pandas/numpy, API ... Streamlit/Dash, Plotly, Power BI/Tableau, or equivalent) with attention to UX for investment ...

Brown Brothers Harriman

Python Developer I

Philadelphia, PA · On-site

$50.75 - $70/hr

You will build interactive data reporting and visualizations using Plotly Dash, D3.js, AG Grid, and ... using Python (including Django) and SQL Demonstrated knowledge of: * * Understanding and ...

CVS Health

Lead Python Developer, Data Analytics

Cary, IL · On-site +1

$67K - $199K/yr

... Plotly Dash Enterprise. Drive forward enterprise modernization opportunities leveraging Python and cloud-native technologies. Refactor legacy programming code to improve turn-around-times and to take ...

CVS Health

Lead Python Developer, Data Analytics

Phoenix, AZ · On-site +1

$67K - $199K/yr

... Plotly Dash Enterprise. Drive forward enterprise modernization opportunities leveraging Python and cloud-native technologies. Refactor legacy programming code to improve turn-around-times and to take ...

Lockheed Martin

Systems Engineer

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 ...

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 ...

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.

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.

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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

Specialty Finance Senior Engineer

Neuberger

Redwood City, CA • On-site

$127K - $175K/yr

Full-time

Posted 18 days ago

Job description

Job Summary:
Neuberger is seeking a hands-on technical engineer for their Specialty Finance team to build and own a scalable analytics and dashboard platform that tracks deal performance across private credit and specialty finance asset classes. This role involves defining requirements, building data pipelines, and delivering a web-based portal for dashboards and analytical tools, while also leading AI initiatives and best practices in modern analytics and engineering.
Responsibilities:
• Design, build, and maintain a suite of dashboards that track deal/asset performance, risk, and key portfolio KPIs (e.g., collateral performance, delinquency, prepayment, loss metrics, triggers/covenants, concentrations, vintage curves).
• Build a unified web portal / internal site where dashboards, reports, and self-serve analytics tools are organized, versioned, and accessible with appropriate permissions.
• Act as point of contact for third party data providers to help normalize, and validate deal-level data.
• Support ad-hoc analysis for investment memos, portfolio reviews, and ongoing surveillance.
• Own project plans and delivery cadence: scope, milestones, dependencies, and stakeholder updates.
• Liaise with broader technology team to advocate for Specialty Finance requirements and ensure solutions meet firm standards.
• Work with investment stakeholders and convert them into clear technical specifications and prioritized roadmaps.
• Identify high-impact AI opportunities.
Qualifications:
Required:
• 10+ years of relevant experience as a full-stack engineer specifically in specialty finance, asset-backed finance, private credit, or an adjacent buy-side setting.
• Advanced Python skills for data engineering and analytics (pandas/numpy, API integration, scripting, testing).
• Strong SQL skills and experience building analytics-ready data models with large data sets and hands-on Snowflake experience.
• Experience building dashboards and/or data applications (e.g., Streamlit/Dash, Plotly, Power BI/Tableau, or equivalent) with attention to UX for investment professionals.
• Demonstrated project management ability: translating ambiguous needs into shipped products, managing stakeholders, and delivering on timelines.
• Strong communication skills with the ability to work directly with investors and explain technical concepts clearly.
Preferred:
• Prior experience at a private credit / specialty finance buy-side firm, or direct exposure to loan-level consumer assets (mortgages, credit cards, ABS/RMBS, whole loans, or specialty lending).
• Familiarity with core credit concepts and performance metrics (delinquency/default/loss, prepayment, seasoning, vintage/cohort tracking, credit enhancement/triggers, concentration and covenant monitoring).
• Applied AI/ML experience (not necessarily deep research): using LLMs for workflow automation, document extraction, anomaly detection, or decision-support tooling.
Company:
Neuberger is an employee-owned, private, independent investment manager founded in 1939 with approximately 3,000 employees across 26 countries. Founded in 1939, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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