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Shiny For Python Jobs (NOW HIRING)

Snowflake

Senior Product Manager - Streamlit

Menlo Park, CA · On-site

$200K - $287K/yr

... for end-to-end outcomes, good or bad. BONUS POINTS: * Prior experience with Streamlit (OS or Enterprise) or similar Python app frameworks (Shiny, Dash). * Experience in the AI/ML space , particularly ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

This role is ideal for an early-career data scientist with strong Python, R, SQL, Tableau, machine ... Tableau, Power BI, R Shiny, or similar dashboard/data visualization experience. * Experience with ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

This role is ideal for an early-career data scientist with strong Python, R, SQL, Tableau, machine ... Tableau, Power BI, R Shiny, or similar dashboard/data visualization experience. * Experience with ...

Fladger Associates

Scientist III

Ridgefield, CT · On-site

... for NGS analysis and the usage of public data resources required * Strong hands-on skills in relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash shell scripting, Nextflow ...

Recruit Professional Services

Data Engineer

Bedminster, NJ

$116K - $140K/yr

... Python, PowerShell, and R. * Design, write, and optimize SQL queries for performance and ... Experience with web application frameworks including Shiny, Dash, Streamlit. * Experience with CI ...

Goldbelt, Inc.

Bioinformatician

Atlanta, GA · On-site

Develop scripts and software for data manipulation, cleaning, analysis, and visualization (using ... Python, SQL * Surveillance pipeline development * Dashboarding tools (Power BI, Tableau, R Shiny)

ATAC

Aviation Programmer Analyst

Washington, DC · On-site

$90K - $110K/yr

ATAC has an opening for an Aviation Programmer Analyst. This is a full-time mid-level staff ... R Shiny, Tableau, Leaflet, and other technologies * Using JavaScript, Python, R and/or other tools ...

Goldbelt Apex

Bioinformatician

Atlanta, GA · On-site

Develop scripts and software for data manipulation, cleaning, analysis, and visualization (using ... Python, SQL * Surveillance pipeline development * Dashboarding tools (Power BI, Tableau, R Shiny)

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How much do shiny for python jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for shiny for python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are some common challenges developers face when building web applications with Shiny for Python compared to using traditional Python web frameworks?

Developers transitioning to Shiny for Python may initially find it challenging to adapt to its reactive programming paradigm, which differs from the request-response model of frameworks like Flask or Django. Understanding how Shiny manages state and updates the user interface in response to data changes is crucial. Additionally, since Shiny for Python is relatively new, there may be limited community resources or third-party integrations compared to more established frameworks, which can impact troubleshooting and feature implementation. However, Shiny's streamlined workflow for creating interactive data apps can make collaboration with data scientists and analysts more efficient.

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

To thrive as a Shiny for Python Developer, you need strong Python programming skills, experience with data visualization, and a background in web application development. Familiarity with the Shiny for Python framework, relevant libraries (such as pandas and matplotlib), and version control systems like Git is typically required. Excellent problem-solving, communication, and project management skills help you collaborate with stakeholders and deliver user-friendly, interactive applications. These skills are important to create effective, maintainable web apps that meet user needs and facilitate data-driven decision-making.

What is the difference between Shiny For Python vs Data Analyst?

AspectShiny For PythonData Analyst
Required skillsPython programming, data visualization, web app developmentExcel, SQL, data analysis, visualization
Work environmentData science teams, web app deploymentBusiness units, reporting teams
Industry usageTech, finance, healthcareFinance, marketing, retail
CertificationsPython certifications, data visualization toolsNone specific, often data analysis certifications

Shiny For Python is a framework for building interactive web applications using Python, primarily for data visualization and deployment. Data Analysts focus on interpreting data, creating reports, and using tools like Excel and SQL. While both roles involve data visualization, Shiny For Python developers build apps, whereas Data Analysts analyze and communicate insights.

What is Shiny for Python?

Shiny for Python is a web application framework that allows Python users to build interactive web apps and dashboards. Inspired by the popular R Shiny package, Shiny for Python enables you to create dynamic, data-driven web applications using only Python, without needing to write any JavaScript or HTML. It is particularly useful for data scientists and analysts who want to share their analyses and visualizations with others in an interactive format. Shiny for Python is open-source and integrates well with popular Python libraries such as pandas, plotly, and matplotlib.
Infographic showing various Shiny For Python job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, and 99% Full Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Senior Product Manager - Streamlit

Senior Product Manager - Streamlit

Snowflake

Menlo Park, CA • On-site

$200K - $287K/yr

Full-time

Posted 3 days ago

Job description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Streamlit has become a defining force in the Python ecosystem, recently surpassing one million monthly active developers who use the Streamlit open-source library to build data applications. At Snowflake, we are turning that momentum into the premier enterprise destination for Python-based data applications. Streamlit in Snowflake allows developers to build, share, and deploy governed, interactive applications directly where their data lives.
We are looking for a Senior Product Manager to lead this transition from massive open-source momentum to an enterprise business. In this role, you will be the Product Manager of a critical product line, owning the strategy, growth, and P&L for Streamlit in Snowflake. You will bridge the gap between a beloved open-source community and the world's most sophisticated enterprise customers, ensuring that building a data app in Snowflake is as easy as writing a few lines of Python.
AS A SENIOR PM AT SNOWFLAKE, YOU WILL:
  • Define the Mission: Own the end-to-end strategy for making Streamlit in Snowflake the gold standard for building and running enterprise-grade data applications and AI agents.
  • Drive Massive Growth: Lead the charge and work with Sales, Marketing and Engineering to grow the Streamlit in Snowflake business.
  • Own the P&L: Manage the business outcomes for your area, identifying levers for adoption, retention, and monetization across thousands of enterprise accounts.
  • Architect for AI: Partner with the Cortex AI team to define how LLMs and agentic workflows integrate with Streamlit, enabling users to build using Snowflake's native AI primitives.
  • Collaborate Across Boundaries: Act as the primary interface between the Open Source Streamlit team and the Snowflake Enterprise team to ensure a cohesive "one-Streamlit" experience. You will also collaborate with Compute, Networking, Identity and Access teams at Snowflake to define the E2E Streamlit in Snowflake experience.

OUR IDEAL CANDIDATE HAS:
  • 5+ years of Product Management experience in B2B SaaS, developer platforms, or cloud infrastructure.
  • Technical Robustness: A strong understanding of cloud infrastructure and the Python ecosystem. You are comfortable discussing technical tradeoffs with senior engineers and have at least a basic proficiency in writing Python code.
  • A Growth Mindset: A proven track record of taking ambitious products to commercial success at scale.
  • Dual-Lens UX Focus: High-judgment design skills. You can empathize with a developer using a CLI/SDK and an analyst using a low-code workspace, ensuring the "it just works" experience for both.
  • Analytical Rigor: You are data-driven and comfortable using metrics and AI-assisted analysis to identify growth gaps and prioritize a roadmap under ambiguity.
  • High Ownership: You are resilient, low-ego, and thrive in an environment where you are accountable for end-to-end outcomes, good or bad.

BONUS POINTS:
  • Prior experience with Streamlit (OS or Enterprise) or similar Python app frameworks (Shiny, Dash).
  • Experience in the AI/ML space, particularly with LLM orchestration or agentic frameworks.
  • Background in Marketplace or Native App ecosystems.
  • Prior experience at a high-growth developer-centric company (e.g., Applications Infrastructure or a major Hyperscaler).

WHY JOIN THIS TEAM?
This is a rare opportunity to own a P&L for one of the fastest-growing areas within the Snowflake AI Data Cloud. You will be at the cutting edge of the technological shift toward AI-powered applications, working with a highly capable engineering team to capture a market of 10 million Python developers globally. If you want to build the "standard" for how the enterprise interacts with data, this is the role for you.
Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

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