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Streamlit Jobs in Virginia (NOW HIRING)

Booz Allen Hamilton

AI and ML Data Scientist

Mclean, VA · On-site

Experience developing APIs, microservices, analytic interfaces, dashboards, or production sof tware using FastAPI, Flask, REST services, Git, CI / CD, DevSecOps, Plotly, Dash, Streamlit, Tableau, or ...

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How much do streamlit jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for streamlit in Virginia is $25.62, according to ZipRecruiter salary data. Most workers in this role earn between $14.73 and $29.92 per hour, depending on experience, location, and employer.

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. Jobs requiring knowledge of Streamlit are expanding as organizations adopt it for data visualization and machine learning projects.

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 compensation. Entry-level roles may start lower, while experienced developers with advanced skills can earn higher salaries.

What hot tech job pays $775 000?

High-level roles such as senior software engineers, machine learning engineers, and data scientists in top tech companies can earn total compensation around $775,000 or more, especially with bonuses and stock options. These positions typically require advanced skills, extensive experience, and often involve working with tools like cloud platforms and programming languages such as Python or Java.

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 professionals who create and maintain AI-driven applications are likely to continue thriving, as their skills in coding, data analysis, and user interface design are essential. Jobs that require complex problem-solving, creativity, and emotional intelligence, such as software engineers, data scientists, and AI specialists, are also expected to persist despite automation. Continuous learning and adapting to new tools like machine learning frameworks will be key for these roles.

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 most commonly searched types of Streamlit jobs in Virginia? The most popular types of Streamlit jobs in Virginia are:
What are popular job titles related to Streamlit jobs in Virginia? For Streamlit jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Streamlit jobs in Virginia look for? The top searched job categories for Streamlit jobs in Virginia are:
Streamlit jobs near you
Infographic showing various Streamlit job openings in Virginia as of July 2026, with employment types broken down into 95% Full Time, 1% Part Time, 1% Temporary, and 3% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $53,286 per year, or $25.6 per hour.
Lead, Data Engineering & Analytics - TS/SCI Required

Lead, Data Engineering & Analytics - TS/SCI Required

Logistics Management Institute

Reston, VA • On-site

Other

Posted 24 days ago

Job description

Overview
At LMI, we're reimagining the path from insight to outcome at The New Speed of Possible™. With over 60 years of federal expertise and a strong innovation ecosystem, we accelerate mission success by delivering timely, high-impact solutions that help our customers adapt to evolving mission needs.
LMI is seeking a Technical Lead to support an Intelligence Community client. This position will be located in Washington, DC or Reston, VA. This role is a hands-on technical leader responsible for guiding a team that delivers modern data pipelines and advanced analytics in support of mission decision-making.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
Technical Leadership & Team Collaboration
  • Lead and oversee a multidisciplinary team of data engineers and data scientists.
  • Collaborate with business/functional stakeholders to understand processes, define analytical requirements, and communicate results.
  • Mentor junior team members across data engineering and data science disciplines.
  • Build and maintain strong relationships with stakeholders to ensure alignment with organizational goals.
  • Manage delivery of projects, including timelines, deliverables, resources, and quality.
  • Provide technical and process consulting in support of mission outcomes.

Data Engineering & Platform Modernization
  • Lead the modernization, maintenance, and scaling of data pipelines, data warehouses, and related infrastructure.
  • Contribute to the organization's data engineering and advanced analytics strategy, roadmap, and data governance practices.

Advanced Analytics & Modeling
  • Frame and scope analytical problems; integrate, consolidate, and analyze complex datasets.
  • Guide development and validation of models using machine learning, simulation, causal, rule-based, or statistical methods.

Analytics Delivery & Communication
  • Translate analytical results into dashboards, visualizations, and analytic narratives that support decision-making.
  • Provide timely analysis and reporting in a fast-paced, client-focused environment.
  • Advise non-technical stakeholders on interpreting and applying data products, dashboards, and reports.

Qualifications
Education:
  • Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or a related quantitative discipline is required; advanced degree preferred.

Experience:
  • 5-10 years of relevant experience, with at least 2 years leading data engineering or data science teams as a technical lead or task lead.
  • Demonstrated experience delivering complex data pipelines and analytical projects in client-focused environments.

Technical Skills:
  • Proficiency in Python and SQL is required.
    Strong working knowledge of relational databases, including database optimization, schema design, and connecting analytic products to data sources.
  • Experience with designing, building, and maintaining ETL/ELT pipelines and data integration workflows in support of scalable analytics solutions.
  • Familiarity with core data science and analytics libraries in Python to support modeling, analysis, and feature engineering.
  • Experience building visualizations, dashboards, and lightweight analytic applications to communicate findings and drive business impact using modern platforms (e.g., Tableau, Streamlit, or similar tools).
  • Exposure to additional analytic, visualization, and programming tools (e.g., Qlik, Power BI, RShiny, Plotly, Java, R), demonstrating the ability to adapt across technologies.
  • Familiarity with data engineering and data science methods including data transformation, feature engineering, predictive analytics, and unstructured text analysis.

Leadership and Interpersonal Skills:
  • Strong written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Demonstrated ability to mentor and develop junior team members across data engineering and data science disciplines.
  • Strong stakeholder management skills, including the ability to build trusted relationships and balance modernization efforts with stakeholder-facing delivery.
  • Ability to work in a fast-paced, solutions-oriented environment while delivering high-quality products.
  • Strong analytical, problem-solving, and organizational skills with a focus on practical outcomes and mission impact.

This position requires an active TS/SCI security clearance with polygraph. Applicants with TS/SCI who are eligible for polygraph are encouraged to apply and will be sponsored for upgrade.
Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

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