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Streamlit Jobs (NOW HIRING)

RSC Solutions

Application Developer

Jersey City, NJ · Hybrid

Implement Streamlit based UIs for internal enterprise workflows * Design and implement Bumbazed workflows within Django applications * Integrate platforms with Collibra for governance, lineage, and ...

RSD Solutions

Application Developer

Jersey City, NJ · Hybrid

Implement Streamlit based UIs for internal enterprise workflows * Design and implement Bumbazed workflows within Django applications * Integrate platforms with Collibra for governance, lineage, and ...

Georgia IT Inc

Python Developer - Whippany, NJ

Whippany, NJ · On-site

$50.75 - $70/hr

Develop and maintain applications using Python, with a focus on Streamlit. * Perform data analysis using Python to support business objectives. * Create and manage AWS Glue Jobs. * Collaborate with ...

Syntricate Technologies

Snowflake Architect

Saint Paul, MN · On-site

$64.25 - $82.75/hr

Position- Snowflake Architect Duration-Contract Location- Saint Paul, MN Snowflake certified professional with expertise in Streamlit, proficiency in Python. Proficient in managing Containers and ...

Gigatec Engineering

UX Software Engineer

Annapolis, MD · On-site

$165K - $265K/yr

Familiar with Streamlit, a Python framework for building interactive web applications * Experience developing front-end applications using TypeScript, HTML, and CSS * Experience with JavaScript ...

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How much do streamlit jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for streamlit in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What is a Streamlit job?

A Streamlit job typically involves developing interactive web applications using Streamlit, an open-source Python library designed for data scientists and engineers. Professionals in this role create dashboards, data visualizations, and machine learning model interfaces with minimal frontend coding. They work with Python, Pandas, NumPy, and sometimes cloud services to deploy apps. This job is common in data-driven industries like finance, healthcare, and research.

What are the key skills and qualifications needed to thrive in the Streamlit position, and why are they important?

To thrive in a Streamlit Developer role, you need strong proficiency in Python programming, experience with data visualization, and a solid understanding of web development concepts. Familiarity with the Streamlit framework, as well as common data science libraries like Pandas, NumPy, and Plotly, is highly valuable. Creative problem-solving skills, collaboration, and clear communication help developers translate complex data challenges into user-friendly applications. Mastering these skills allows you to build interactive, dynamic applications that effectively communicate data insights and support business goals.

What are typical daily responsibilities for someone working as a Streamlit Developer?

As a Streamlit Developer, your daily tasks usually involve building and maintaining interactive web applications for visualizing and exploring data. You will collaborate closely with data scientists, analysts, or business stakeholders to understand requirements and implement features that meet their needs. Troubleshooting application bugs, optimizing user experience, and keeping up-to-date with improvements to the Streamlit ecosystem are also important parts of the role. Most developers work in interdisciplinary teams and have the chance to contribute new ideas for improving workflows or data presentation, making the job both dynamic and impactful.
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Streamlit jobs near you
Application Developer

Application Developer

RSC Solutions

Jersey City, NJ • Hybrid

Other

This job post has expired today. Applications are no longer accepted.

Job description

Hybrid Role
Role: Application Developer - Senior Databricks Full Stack Consultant (Banking)
Engagement Overview - Looking for a Databricks centric Full Stack Consultant with deep expertise in Databricks app deployments, Lakehouse and Medallion architecture, and scalable data pipeline development. Required skills include advanced Python development, Databricks Jobs and Apps, Kubernetes based deployment of Python services, UI development using Streamlit, and backend/API development with Django, including BPMN workflow orchestration. Experience supporting enterprise data, risk, or compliance platforms is a strong plus.
Key Responsibilities:

  • Design and implement Databricks Lakehouse / Lakebase platforms using Medallion Architecture, Unity catalog
  • Build and deploy Databricks Apps with Python based backends
  • Develop end-to-end data pipelines (batch & streaming) on Azure Databricks
  • Build fullstack applications using Python, Django, Flask, and Streamlit
  • Deploy Python services and applications using Kubernetes
  • Implement Streamlit based UIs for internal enterprise workflows
  • Design and implement Bumbazed workflows within Django applications
  • Integrate platforms with Collibra for governance, lineage, and certification
  • Ensure enterprise grade security, auditability, and regulatory compliance

Core Technical Requirements
  • Databricks & Data Engineering
  • Databricks Apps development and deployment
  • Delta Lake, Lakehouse / Lakebase architecture
  • Medallion Architecture (Bronze / Silver / Gold)
  • Databricks Jobs, performance tuning, and production support
  • Application Development
  • Advanced Python development
  • Backend frameworks: Django, Flask
  • UI development using Streamlit
  • Development of data driven enterprise applications on Databricks
  • DevOps & Deployment
  • Deploying Python applications on Kubernetes, Azure functions
  • Git Hub CI/CD for Databricks and application workloads
  • Secure integration with Azure identity and access controls
  • Workflow & Governance
  • BPMN based workflow design and execution using Django
  • Data governance, lineage, and certification using Collibra
  • Strong understanding of banking regulatory controls and audit requirements

Experience Profile
15+ years of experience
Mandatory banking / financial services background
Prior work supporting Risk, Finance, Compliance, or Regulatory Reporting platforms
Experience working in highly regulated enterprise environments
Certifications (Mandatory)
Databricks Certification
Azure Certification
Collibra Certification

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