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Remote Streamlit Jobs (NOW HIRING)

Remote - Resource must be currently located in Indiana Interview process: Webcam only Contract Role ... Required Exp w/Shiny, Dash, Flask,or Streamlit to build user-facing interfaces, connect to backend ...

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Experience building and deploying interactive UIs for AI models using Streamlit, Gradio, or similar frameworks for rapid prototyping and real-time model interactions * Business acumen and ability to ...

Experience with data visualization and lightweight app frameworks (e.g., Streamlit or comparable ... This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX ...

Ability to prototype end-to-end experiences (e.g., Streamlit, Gradio, lightweight frontends ... This role is fully remote, with optional in-person collaboration at our San Francisco office. Why ...

Staff Computational Biologist

Lexington, MA · On-site +1

$195K - $230K/yr

Shiny, Dash, Streamlit, React, Veu.js). * Understanding of cloud-native tools and modern data platforms (AWS/GCP/Azure). * Familiarity with the drug discovery and development process is a plus Remote ...

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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.
More about Remote Streamlit jobs
What cities are hiring for Remote Streamlit jobs? Cities with the most Remote Streamlit job openings:
What are the most commonly searched types of Streamlit jobs? The most popular types of Streamlit jobs are:
What states have the most Remote Streamlit jobs? States with the most job openings for Remote Streamlit jobs include:
Infographic showing various Remote Streamlit job openings in the United States as of June 2026, with employment types broken down into 67% Part Time, and 33% Contract. Highlights an 78% Physical, 9% Hybrid, and 13% Remote job distribution.
REMOTE - AI Engineering Manager (Databricks)

REMOTE - AI Engineering Manager (Databricks)

State Farm

Remote

Full-time

Posted 4 days ago


State Farm rating

7.5

Company rating: 7.5 out of 10

Based on 1,370 frontline employees who took The Breakroom Quiz

194th of 261 rated insurance


Job description

Job Summary:
State Farm is a leading insurance company committed to helping people and investing in communities. They are seeking an AI Engineering Manager to lead a team of engineers in developing agentic workflows and solutions on the Databricks platform, ensuring quality and innovation in production systems.
Responsibilities:
• Lead a team of 3-5 embedded agentic engineers who work inside Product Oriented Delivery pods, helping engineers, analysts, and product owners ship twice as fast with twice the quality through agentic workflows.
• You'll build the agentic harness tuned to our existing infrastructure, write code alongside your team, run the developer community, and ensure a steady stream of innovation projects make it to production on Databricks
• Team Leadership (30%) – Hire, manage, and grow 3-5 embedded engineers. 1:1s, career development, removing blockers. You code 30-40% of the time.
• Agentic Harness (25%) – Build the agentic harness tuned to our infrastructure – hooks, connectors, and integrations with Claude for code quality checks, artifact generation, and next-best-action guidance through the SDLC.
• Databricks Solutions (20%) – Production templates for Medallion pipelines, Unity Catalog governance, MLflow, PySpark. Not PoCs – real systems with monitoring and runbooks.
• Developer Community (15%) – Demos, office hours, pattern libraries. Measure adoption and impact.
• Production Readiness (10%) – Quality gates, automated checks, incident coaching, ET handoff.
Qualifications:
Required:
• Leadership: 2+ years managing engineering teams. Experience with embedded/distributed teams. Coaching mindset.
• Production (Non-Negotiable): Shipped end-to-end systems to production with real users, SLAs, and on-call. Not PoCs. 1+ year operating production ML/AI systems.
• Databricks: 2+ years production Databricks (Delta Lake, Unity Catalog, MLflow, PySpark). Medallion architecture. Cost optimization.
• Agentic/LLMs: Anthropic Claude production experience (structured outputs, tool use, multi-turn). Built developer tools with LLMs. Evaluation frameworks. Prompt engineering at scale.
• Engineering: Production-grade Python. SQL expertise. CI/CD. API design. Code quality obsession. Threat modeling. Chaos engineering.
• Communication: Technical teaching. Influence without authority. Clear written communication. Stakeholder management.
Preferred:
• Developer platforms or CLI tools.
• DORA/SPACE metrics.
• Open-source contributions.
• Event streaming.
• Privacy regulations.
• Insurance/fintech/regulated industries.
• Lightweight UI skills (Streamlit, Gradio, FastAPI + HTMX).
Company:
State Farm is an insurance firm that offers auto, home, property, business, life, health insurances. Founded in 1922, the company is headquartered in Huntingdon, USA, with a team of 10001+ employees. The company is currently Late Stage.

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