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Streamlit Jobs (NOW HIRING)

Victaulic

Snowflake Solutions Engineer

Easton, PA

Design and develop interactive data applications using Snowflake Streamlit for self-service analytics and operational workflows that enable business users to interact with data through intuitive ...

Connect for Health Colorado

AI Developer/Engineer

Denver, CO · On-site +1

$111K - $145K/yr

This role focuses on delivering incremental improvements, prototypes, and staff-facing tools (including Streamlit-based applications), implementing retrieval-augmented generation (RAG) patterns, and ...

Codvo.ai

Develop lightweight internal tools and dashboards using frameworks such as React, Streamlit, or similar technologies to: * Visualize data pipelines and workflows * Demonstrate model inference ...

Rivian

Sr. Software Engineer,Data, Autonomy

Palo Alto, CA · On-site

$162K - $203K/yr

If you are passionate about transforming raw data into actionable insights and possess expertise in tools like Hex, Streamlit, SQL, AWS, and Databricks, we want you on board. This role requires a ...

Hexacorp

Data Scientist

Altamonte Springs, FL · On-site

Exposure to or experience with Streamlit, Dash, or similar frameworks * Experience working with structured and semi-structured data * Background in healthcare or another regulated industry

Gen II Fund Services LLC

Senior Data Engineer

Manhattan, NY · On-site

$116K - $158K/yr

Python & Streamlit Development * Building Streamlit applications in Snowflake for internal operational tooling - data review queues, reconciliation dashboards, client provisioning workflows, and ...

Rivian

Sr. Software Engineer,Data, Autonomy

Palo Alto, CA · On-site

$162K - $203K/yr

If you are passionate about transforming raw data into actionable insights and possess expertise in tools like Hex, Streamlit, SQL, AWS, and Databricks, we want you on board. This role requires a ...

Rivian

Sr. Software Engineer,Data, Autonomy

Palo Alto, CA · On-site

$162K - $203K/yr

If you are passionate about transforming raw data into actionable insights and possess expertise in tools like Hex, Streamlit, SQL, AWS, and Databricks, we want you on board. This role requires a ...

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How much do streamlit jobs pay per hour?

As of Jun 26, 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 job makes $10,000 a month without a degree?

A role as a freelance software developer or web designer can potentially earn $10,000 a month without a degree, especially with strong skills in programming, client management, and project delivery. Success depends on experience, portfolio, and the ability to secure high-paying clients or projects.

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.

Is Streamlit in demand?

Streamlit is increasingly popular for building data apps and dashboards, leading to growing demand for developers skilled in this framework. Companies using Python for data science and machine learning often seek professionals familiar with Streamlit to create interactive interfaces efficiently.

What is the salary of Streamlit developer?

A Streamlit developer's salary typically ranges from $70,000 to $120,000 annually, depending on experience, location, and skill level. Proficiency in Python, data visualization, and web app deployment can influence earning potential.

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.

Which 3 jobs will survive AI?

Streamlit developers and data scientists are likely to continue thriving as AI tools automate data analysis and visualization tasks, but require expertise in building user interfaces and interpreting results. Roles involving complex problem-solving, creativity, and emotional intelligence, such as software engineers and AI specialists, are also expected to persist. These jobs demand skills that are difficult for AI to fully replicate, including critical thinking and domain-specific knowledge.

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.

More about Streamlit jobs
What cities are hiring for Streamlit jobs? Cities with the most 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 Streamlit jobs? States with the most job openings for Streamlit jobs include:
What job categories do people searching Streamlit jobs look for? The top searched job categories for Streamlit jobs are:
Streamlit jobs near you
Infographic showing various Streamlit job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 1% Part Time, 1% Temporary, and 5% Contract. Highlights an 78% Physical, 9% Hybrid, and 13% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.
Snowflake Solutions Engineer

Snowflake Solutions Engineer

Victaulic

Easton, PA

Full-time

Posted 6 days ago

Victaulic rating

7.1

Company rating: 7.1 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

356th of 520 rated manufacturers

Job description

Job Description

Position Overview
We are seeking an innovative Snowflake Solutions Engineer to join our growing IT team and lead the design and implementation of advanced Snowflake-native applications and AI-powered data solutions. This role will focus on leveraging Snowflake's modern platform capabilities including Streamlit applications, Cortex AI services, and emerging technologies to deliver business value through cutting-edge data solutions. The ideal candidate will have deep expertise in Snowflake's ecosystem, data architecture patterns including data warehousing, data lakes, and open lakehouse architectures, and experience building user-facing data applications.
Essential Functions and Responsibilities
Snowflake Native Application Development (30%)
  • Design and develop interactive data applications using Snowflake Streamlit for self-service analytics and operational workflows that enable business users to interact with data through intuitive interfaces
  • Create reusable application frameworks and component libraries for rapid solution delivery
  • Integrate Snowflake Native Apps and third-party marketplace applications to extend platform capabilities
  • Develop custom UDFs and stored procedures to support advanced application logic and business rules
Data Architecture and Modern Platform Design (30%)
  • Design and implement modern data architecture solutions spanning data warehousing, data lakes, and lakehouse patterns
  • Implement and maintain medallion architecture (bronze-silver-gold) patterns for data quality and governance
  • Evaluate and recommend architecture patterns for diverse use cases including structured analytics, semi-structured data processing, and AI/ML workloads
  • Establish best practices for data organization, storage optimization, and query performance across different data architecture patterns
AI Support and Advanced Analytics Collaboration (15%)
  • Support AI and data science teams with Snowflake platform capabilities and best practices
  • Collaborate on implementing Snowflake Cortex AI features for business use cases
  • Provide technical guidance on data access patterns and feature engineering for AI workloads
  • Design data structures and access patterns optimized for ML model training and inference
  • Participate in proof-of-concepts for AI capabilities and provide platform expertise
Security, Governance, and Technical Leadership (15%)
  • Design and implement role-based access control (RBAC) hierarchies following least privilege principles
  • Establish security best practices including network policies, authentication methods, data encryption, and row or column level security and masking.
  • Implement object tagging strategies and tag-based policies for access control and governance
  • Monitor and optimize application performance, query efficiency, and user experience
  • Establish cost optimization strategies for compute resources and storage across different workload patterns
  • Provide technical guidance on Snowflake capabilities, features, and roadmap to stakeholders
  • Lead architectural discussions on solution design patterns and technology selection
  • Create technical documentation, implementation guides, and best practice recommendations
Required Qualifications
Education and Experience
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Data Science or related technical field
  • At least 2 years ofrecenthands-on experience with Snowflake platform including advanced features
  • Minimum 3 years of experience in data engineering or solutions architecture roles
  • 7-10 years of experience in Data Architecture/Engineering and/or BI in a multi-dimensional environment
  • Proven track record of developing data applications or analytical solutions for business users
Technical Skills
  • Snowflake Expertise:Advanced knowledge of Snowflake architecture including data warehousing, data lakes, and emerging lakehouse features
  • Security and Governance:Deep understanding of RBAC, row-level security, data masking, and Snowflake security best practices
  • DevOps and CI/CD:Strong experience with GitHub, SnowDDL, automated deployment pipelines, and infrastructure as code
  • Application Development:Proficiency with Snowflake Streamlit for building interactive data applications
  • SQL Proficiency:Expert-level SQL skills with experience in complex analytical queries and optimization
  • Python Programming:Strong Python skills for Snowpark development, data processing, and application logic
  • Data Architecture:Deep understanding of data warehousing concepts, data lake patterns, and modern lakehouse architectures
  • Backup and Recovery:Experience with disaster recovery planning, backup automation, and data retention strategies
Preferred Qualifications
  • Certifications:Snowflake SnowPro Core, Advanced Architect, or Data Engineer certification
  • AI/ML Collaboration:Experience supporting data science teams and understanding ML workflow requirements
  • Development Frameworks:Experience with modern web frameworks, API development, and microservices
  • Cloud Platforms:Knowledge of AWS, Azure, or Google Cloud data services and integration patterns
  • Data Governance:Understanding of data cataloging, metadata management, and governance frameworks
  • DevOps Tools:Experience with GitHub Actions, Jenkins, GitLab CI/CD, or similar automation platforms
  • Infrastructure as Code:Proficiency with SnowDDL, Terraform, Schemachange, or other IaC tools for Snowflake
This position is NOT eligible for visa sponsorship.
EEO Statement: Victaulic is an Equal Employment Opportunity (EOE/M/F/Vets/Disabled) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, gender, color, religion, national origin, age, disability, veteran status, sexual orientation, genetic data, or other legally protected status
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Victaulic Staffing Partner Communication Policy
All staffing agencies are strictly forbidden from directly contacting any Victaulic employees, except those within the Human Resources/Talent Acquisition team. All communications, inquiries and candidate submissions must be routed through Victaulic's Human Resources/Talent Acquisition team. Non-compliance with this policy may result in the suspension of partnership, cancellation of the current contract, and/or the imposition of a mandatory probation period before any future business can resume. Additionally, non-compliance may lead to a permanent ban on future business. This policy ensures a streamlined and compliant recruitment process.

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