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Entry Level Python Sql Tableau Jobs in Virginia (NOW HIRING)

United IT Solutions

AI Engineer

Reston, VA · On-site

The ideal candidate is a hands-on engineer with strong Python backend development skills, practical ... Design and maintain database schemas, data models, and optimized SQL queries using PostgreSQL or ...

Pae

HRIS Data Analyst

Mclean, VA

MS Office including Excel, Tableau, Python, SQL * Preferred: * Tools: Cognos, VBA, R, SPSS, SAS, LimeSurvey, Personal Operations Portal system, PD Library, Lawson * Workforce analytics and workforce ...

Noblis

Cleared Data Scientist

Chantilly, VA · On-site

... Python, SQL/PostgreSQL, Spark, and Git (NiFi is a plus) * Experience analyzing data in Python * Experience with data visualization tools (e.g., Tableau) * Experience or knowledge with machine ...

TriOptus LLC

Sr Data Analyst

Reston, VA · On-site

$89K - $112K/yr

Creating dashboards, charts, and reports using tools like Excel, SQL, Python, and Tableau to communicate findings to stakeholders. * Translating complex datasets into actionable recommendations for ...

1 point system

Data Analyst

Mclean, VA · On-site

Proficiency in SQL for data querying and manipulation. * Experience with Python for data analysis. * Proven ability to build dashboards and reports using tools like Tableau, Power BI, or similar.

Numero Data LLC

Business Intelligence Consultant

Herndon, VA · On-site

$49.25 - $67.50/hr

... Python Programming. To learn more about Numero Data LLC, please visit our website www.numerodata ... Tableau servers. Skilled on different databases like RDBMS (SQL Server, Oracle), Vertica.

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Entry Level Python Sql Tableau information

What are the key skills and qualifications needed to thrive as an Entry Level Python, SQL, and Tableau professional, and why are they important?

To thrive in an entry-level role focused on Python, SQL, and Tableau, you need a foundational understanding of programming, database querying, and data visualization, often supported by a relevant degree or coursework. Familiarity with tools like Jupyter Notebooks, relational database management systems (such as MySQL or PostgreSQL), and Tableau software is typically expected, and certifications in these platforms can be advantageous. Strong analytical thinking, attention to detail, and effective communication are key soft skills that help in interpreting data and presenting insights. These skills and qualifications are crucial for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

What are some typical projects or tasks an entry-level professional using Python, SQL, and Tableau might work on in their first year?

In an entry-level role focused on Python, SQL, and Tableau, you can expect to work on tasks such as cleaning and transforming raw data using Python, writing SQL queries to extract necessary information from databases, and creating interactive dashboards in Tableau for data visualization and reporting. You'll often collaborate with data analysts, business stakeholders, and IT team members to ensure data accuracy and actionable insights. These projects provide a solid foundation in both technical and business communication skills, helping you build experience for advanced analytical and data engineering roles.

What is the difference between Entry Level Python Sql Tableau vs Data Analyst?

AspectEntry Level Python Sql TableauData Analyst
Required SkillsPython, SQL, Tableau, basic data analysisSQL, Excel, data visualization, basic statistics
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, healthcare, various industries
CertificationsOptional Python/SQL/Tableau certificationsOften preferred certifications like Microsoft Data Analyst

Entry Level Python Sql Tableau roles focus on using programming and visualization tools for data tasks, while Data Analysts may have broader responsibilities including reporting and statistical analysis. Both roles often overlap in skills and work environments, but Data Analysts typically require a wider range of analytical techniques.

What are Entry Level Python SQL Tableau jobs?

Entry Level Python SQL Tableau jobs are positions designed for individuals who are new to the tech industry and have foundational skills in Python programming, SQL for database management, and Tableau for data visualization. These roles typically involve collecting, analyzing, and visualizing data to help organizations make informed decisions. Candidates in these positions usually work as data analysts, junior data engineers, or business intelligence specialists. The jobs often require strong problem-solving abilities and a willingness to learn on the job while supporting senior team members.
What are the most commonly searched types of Python Sql Tableau jobs in Virginia? The most popular types of Python Sql Tableau jobs in Virginia are:
What are popular job titles related to Entry Level Python Sql Tableau jobs in Virginia? For Entry Level Python Sql Tableau jobs in Virginia, the most frequently searched job titles are:
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What cities in Virginia are hiring for Entry Level Python Sql Tableau jobs? Cities in Virginia with the most Entry Level Python Sql Tableau job openings:
Entry Level Python Sql Tableau jobs near you
AI Engineer

AI Engineer

United IT Solutions

Reston, VA • On-site

Other

Posted 8 days ago

Job description

Mandatory Skills:

Position Summary

  • We are seeking an AI Engineer to support model transformation initiatives focused on modernizing how models are monitored, governed, reported, and improved.
  • This role will contribute to Model Performance Monitoring, MLOps enablement, reporting automation, dashboard development, backend services, and GenAI-enabled model insights.
  • The ideal candidate is a hands-on engineer with strong Python backend development skills, practical experience with data and cloud technologies, and an interest in building scalable, secure, and user-friendly platforms for model monitoring and governance.
  • The candidate does not need to have every skill listed below but should bring experience in several core areas and the ability to learn quickly in an enterprise environment.

 

Key Responsibilities

  • Design and develop backend services and APIs to support model performance monitoring, data ingestion, reporting, dashboarding, and workflow integration.
  • Build RESTful services using modern Python frameworks such as FastAPI, SQLAlchemy, and Pydantic.
  • Develop data processing capabilities for model monitoring inputs, including JSON, Excel, and relational data sources.
  • Design and maintain database schemas, data models, and optimized SQL queries using PostgreSQL or similar databases.
  • Support automated model monitoring reports, executive dashboards, and PDF report generation.
  • Contribute to interactive dashboards and analytics views that help users evaluate model health, performance trends, drift indicators, and monitoring status.
  • Support frontend development where needed using Angular, TypeScript, RxJS, and component-based UI patterns.
  • Integrate visualization tools such as Plotly.js, Chart.js, or Tableau dashboards.
  • Build cloud-native components using AWS services such as S3, Lambda, and boto3.
  • Support secure file storage, retrieval, report generation, and data exchange across enterprise systems.
  • Contribute to DevOps practices including Docker, CI/CD pipelines, Git-based workflows, SonarQube, environment configuration, and deployment automation.
  • Help develop GenAI-enabled features such as AI-assisted model insights, report summarization, chatbot integration, and prompt-based analytics.
  • Collaborate with model developers, technology teams, architecture, governance, risk, and business stakeholders to deliver secure, scalable, and audit-ready solutions.

 

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, Mathematics, or a related technical field.
  • Strong hands-on experience with Python and backend application development.
  • Experience building REST APIs and working with modern API design patterns.
  • Practical knowledge of relational databases, SQL, schema design, and data modeling.
  • Experience processing structured and semi-structured data, including JSON and Excel files.
  • Familiarity with model lifecycle concepts, model monitoring, MLOps, data validation, or AI/ML application development.
  • Experience with cloud-native development, preferably AWS.
  • Working knowledge of Git, CI/CD practices, containerization, and deployment workflows.
  • Strong problem-solving skills, attention to detail, and ability to work across technical and business teams.

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