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Remote Streamlit Jobs in California (NOW HIRING)

Rapidly prototype and validate solutions using tools such as Python, Streamlit, or internal ... Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All ...

Remote Streamlit information

What is a Remote Streamlit developer?

A Remote Streamlit developer is a software professional who specializes in building interactive web applications using the Streamlit framework, while working remotely. Streamlit is a popular open-source Python library used for creating data apps quickly and efficiently, often for purposes such as data visualization, machine learning model deployment, and dashboard creation. Remote Streamlit developers collaborate with teams and stakeholders from different locations, using online tools to communicate and manage projects. Their role typically involves writing Python code, integrating APIs, deploying applications to the cloud, and ensuring a smooth user experience. They are in demand in industries that rely on data analysis and seek rapid prototyping of web-based tools.

What is the difference between Remote Streamlit vs Data Analyst?

AspectRemote StreamlitData Analyst
Required skillsPython, Streamlit, data visualizationExcel, SQL, data interpretation
Work environmentRemote, project-basedRemote or on-site, business-focused
Industry usageTech, startups, data-driven projectsFinance, marketing, healthcare

Remote Streamlit professionals focus on building interactive data apps using Python and Streamlit, often working remotely on specific projects. Data Analysts analyze and interpret data using tools like Excel and SQL, with broader industry applications. While both roles involve data, Remote Streamlit emphasizes app development and visualization, whereas Data Analysts focus on data insights and reporting.

What are the key skills and qualifications needed to thrive as a Remote Streamlit Developer, and why are they important?

To thrive as a Remote Streamlit Developer, you need strong proficiency in Python programming, experience with web application development, and a solid understanding of data visualization principles. Familiarity with the Streamlit framework, Git version control, and cloud deployment platforms is typically required. Strong problem-solving, self-motivation, and clear communication skills enable effective remote collaboration and project delivery. These competencies ensure the creation of interactive, reliable, and visually appealing data applications in distributed work environments.

How does a Remote Streamlit Developer typically collaborate with cross-functional teams when working on data-driven applications?

As a Remote Streamlit Developer, collaboration is often facilitated through virtual meetings, code repositories, and shared documentation platforms. You’ll regularly interact with data scientists, analysts, and project managers to gather requirements, iterate on prototypes, and ensure the final application meets user needs. Effective communication and proactive updates are key, as you may be responsible for translating complex data analyses into interactive web apps that are accessible to non-technical stakeholders. Tools like Slack, Jira, and GitHub are commonly used to streamline teamwork and maintain project momentum in a remote setting.
What are the most commonly searched types of Streamlit jobs in California? The most popular types of Streamlit jobs in California are:
What cities in California are hiring for Remote Streamlit jobs? Cities in California with the most Remote Streamlit job openings:
Sr People Analytics Analyst

Sr People Analytics Analyst

Uber Technologies, Inc.

San Francisco, CA • On-site, Remote

Full-time

Retirement

Posted 5 days ago


Job description

About The Role

At Uber, the People Data & Intelligence team drives business performance by translating employee insights into action. We partner with senior leaders to improve organizational effectiveness, employee engagement, and workforce outcomes across the full talent lifecycle - from hiring to retention.

We are looking for a senior data analyst who is passionate about using data to answer business questions and influence decisions. This role sits at the intersection of analytics engineering and modern insight delivery, supporting decisions by building intelligent applications, integrating AI workflows, and transforming raw people metrics into scalable, self-service solutions.

What You'll Do

  • Analytics Delivery: Partner with cross-functional stakeholders (HRBPs, business leaders, and people teams) to quickly understand ambiguous business questions and translate them into structured analysis blueprints and success benchmarks. Deliver timely, high-quality insights that inform strategy, roadmaps,and organizational health.
  • Build Scalable Analytics Solutions & Data Products: Act as a builder - Design optimized data models and clean, structured data layers that enable rapid analysis. 
  • Application Development & Automation: Develop custom, intelligent data tools and internal web applications (e.g., automated reporting tools, chatbots, or insight generation) using Python, Flask, and Streamlit to enable self-service insights. 
  • Code Excellence: Focus on long-term scaling by building, maintaining, and documenting clean codebases and analytics best practices within the team.
  • Team Mindset: Be humble and scrappy, willing to take on tactical or foundational data work whenever it helps unblock the team or a project.

Basic Qualifications

  • Bachelor's or Master's degree in a quantitative or analytical field (e.g., Statistics, Economics, Engineering, Computer Science, Data Analytics, or related).
  • Minimum 4+ years of experience in business intelligence, analytics, data engineering, or a similar role delivering insights in a corporate environment.
  • 3+ years experience of strong SQL expertise with the ability to independently write complex, efficient queries on large production datasets.
  • Hands-on experience building lightweight applications and analytical tools using frameworks like Streamlit and Flask.
  • Proficiency with industry-standard BI and data visualization tools (such as Tableau and Looker) to design intuitive dashboards and transform raw data into clear, self-service visual narratives.

Preferred Qualifications

  • Fluency in Python to clean, manipulate large datasets at scale, and apply analytical, automation, or machine learning capabilities to build scalable solutions.
  • Demonstrated ability to work with modern Generative AI tools and APIs to build intelligent data applications, automate complex analytical workflows, and extract actionable insights from large-scale datasets.
  • Direct experience in People Analytics, HR data, or exposure to Human Capital Management (HCM) systems and employee listening (survey) analysis.
  • Experience in experimental design, exploratory data analysis, data modeling, and statistical analysis.
  • Experience working directly with Product and Engineering teams in a fast-moving, cross-functional environment.

Ready to Ride?


This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.


You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.


Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.


Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

For San Francisco, CA-based roles: The base salary range for this role is USD $131,000 per year - USD $145,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.