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Manager Streamlit Jobs (NOW HIRING)

AI Developer/Engineer

Denver, CO · On-site +1

$111.24K - $145.23K/yr

Develop and enhance internal AI-enabled applications and demos using Streamlit and related web ... Participate in IT operations activities (standups, change management, documentation, knowledge ...

Software Engineer - Mid Senior Level

Hanover, MD · Hybrid

$121.90K - $160.70K/yr

Enhance and mature a UI prototype developed using Streamlit into a full-scale interface. * Develop ... Utilize Git source control for version management and collaborative development. * Contribute to ...

Collaborate with product managers, architects, other engineering teams, and business groups, to drive end-to-end solutions. * Contribute to improving our engineering processes, tooling, and standards.

Software Engineer - Mid Senior Level

Hanover, MD · Hybrid

$121.90K - $160.70K/yr

Enhance and mature a UI prototype developed using Streamlit into a full-scale interface. * Develop ... Utilize Git source control for version management and collaborative development. * Contribute to ...

User Facing Software Manager

Palo Alto, CA · On-site

$137.10K/yr

... Plotly, Streamlit, or equivalent for data wrangling and visualization. • Experience designing ... management for hardware-in-the-loop or real-world systems. Preferred : • Experience working on ...

Hands-on experience with Airflow or similar orchestration platforms for data pipeline management * Strong proficiency with AI development tools, including experience with LLM-powered workflows, agent ...

Senior Developer

Dallas, TX · On-site

$54 - $71.25/hr

Working experience with Streamlit libraries to build custom dashboards * Experience in working with ... Strong Problem-solving skills, with the ability to manage priorities, set expectations to get ...

Technical Product Manager

Dearborn, MI

$153.80K - $177.80K/yr

... g., Streamlit, Copilot, LLMs)Develop business cases tied to KPIs such as engineering efficiency, defect detection, and time-to-marketCollaborate closely with cross-functional teams including ...

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Manager Streamlit information

What is the difference between Manager Streamlit vs Data Analyst?

AspectManager StreamlitData Analyst
Required CredentialsBachelor's degree in CS, Data Science, or related field; experience with Streamlit and project managementBachelor's degree in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentCollaborative teams, project-based, tech-focusedData-focused, reporting, and insights generation
Employer & Industry UsageTech companies, startups, data-driven organizationsBusiness, finance, healthcare, and marketing sectors

The main difference is that a Manager Streamlit oversees the development and deployment of data apps using Streamlit, managing teams and projects, while a Data Analyst focuses on analyzing data, generating reports, and providing insights. Both roles require technical skills, but the Manager Streamlit role emphasizes project management and app development leadership.

More about Manager Streamlit jobs
What cities are hiring for Manager Streamlit jobs? Cities with the most Manager 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 Manager Streamlit jobs? States with the most job openings for Manager Streamlit jobs include:
Infographic showing various Manager Streamlit job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 94% Part Time, 2% Temporary, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.
Senior Data Engineer - Full Stack

Senior Data Engineer - Full Stack

Codvo.ai

Santa Clara, CA • On-site

Full-time

Posted 10 days ago


Job description

Role Summary
We are seeking a highly skilled Senior Data Engineer - Full Stack to build and maintain internal tools, automation frameworks, and workflows that enhance the efficiency, reliability, and scalability of our data and machine learning platforms. This role will work closely with Data Engineers, Data Scientists, and ML Engineers to streamline operations across the data lifecycle.
Total Exp: 8+Years
Location: Santa Clara, CA(Hybrid)
Key Responsibilities
  • Design and develop CLI tools, scripts, and internal utilities to automate repetitive tasks across the data platform, including:
    • Pipeline execution and orchestration
    • Data governance workflows
    • Metadata synchronization
    • Environment setup and configuration
    • Test harness development
  • Automate workflows on Databricks, including:
    • Job deployment and scheduling
    • Environment provisioning
    • MLOps processes using APIs, Terraform, or Databricks SDK
  • Build and implement robust testing frameworks:
    • Integration testing for pipelines
    • End-to-end validation of ETL/ELT workflows
    • Testing and validation for ML inference workflows
  • Improve overall productivity, scalability, and reliability of the data and ML engineering ecosystem
  • Develop lightweight internal tools and dashboards using frameworks such as React, Streamlit, or similar technologies to:
    • Visualize data pipelines and workflows
    • Demonstrate model inference capabilities
    • Provide configuration and operational controls
    • Enable internal productivity monitoring and dashboards
  • Collaborate with cross-functional teams to identify automation opportunities and implement best practices

Required Skills & Qualifications
  • Strong experience in Python and scripting for automation and backend development
  • Hands-on experience with Databricks platform and ecosystem
  • Experience with APIs, Terraform, and/or Databricks SDK for automation
  • Solid understanding of ETL/ELT pipelines and data platform architecture
  • Experience building testing frameworks for data pipelines and ML workflows
  • Familiarity with CLI tool development and system automation
  • Knowledge of MLOps principles and practices
  • Experience with modern development practices, including:
    • Spec-driven development
    • Use of coding agents or automation-assisted development tools
    • Version control and CI/CD pipelines

Nice to Have
  • Experience building dashboards or internal tools using React, Streamlit, or similar frameworks
  • Familiarity with Databricks AI/BI or other data visualization tools
  • Exposure to data governance and metadata management frameworks
  • Experience working with cloud platforms (AWS preferred)

Preferred Experience
  • 8+ years of experience in Data Engineering, Platform Engineering, or related roles
  • Experience working in data-driven or ML-focused environments

What You'll Bring
  • Strong problem-solving mindset with a focus on automation and efficiency
  • Ability to work in a fast-paced, collaborative environment
  • Passion for building scalable internal tools and improving developer productivity