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Internship Python Sql Tableau Jobs in Virginia (NOW HIRING)

The ideal candidate brings strong hands-on experience with Python, SQL, data pipeline development, and enterprise analytics platforms such as Databricks, Palantir, Tableau, Power BI, Qlik, or similar ...

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AI/ML engineering

Reston, VA · On-site

$119K - $143K/yr

... in Python, SQL and experience with AWS. Key Responsibilities: • Design, test, and refine prompts ... Tableau). • Understanding of MLOps practices and model lifecycle management. Education • B ...

Proven proficiency in Python, SQL , and data visualization tools (e.g., Dune Analytics, Tableau, or Grafana). * Deep understanding of market manipulation schemes and the regulatory landscape ...

... Python, SQL, and Apache Airflow to enable mission analytics for Combatant Commands, Joint Staff ... Tableau, Power BI, Databricks SQL, and Grafana to present availability metrics, throughput ...

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Internship Python Sql Tableau information

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

AspectInternship Python Sql TableauData Analyst
Required SkillsBasic Python, SQL, Tableau, data visualizationAdvanced Excel, SQL, Python, data analysis, reporting
Work EnvironmentInternship setting, entry-level projectsFull-time, collaborative teams, client-facing
CertificationsNone typically required, some courses helpfulData analysis certifications (e.g., Microsoft, Tableau)
Industry UsageEntry-level roles in tech, finance, marketingBusiness intelligence, analytics, consulting

Internship Python Sql Tableau roles focus on gaining foundational skills in data tools and visualization, often in an entry-level setting. Data Analysts build on these skills with more advanced analysis, reporting, and business insights, usually in full-time positions. Both roles overlap in technical skills but differ in experience level and scope.

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 Internship Python Sql Tableau jobs in Virginia? For Internship Python Sql Tableau jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Internship Python Sql Tableau jobs? Cities in Virginia with the most Internship Python Sql Tableau job openings:
Infographic showing various Internship Python Sql Tableau job openings in Virginia as of June 2026, with employment types broken down into 2% As Needed, 93% Full Time, and 5% Part Time. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.

Senior Data Engineer

INTELLITECH LLC

Alexandria, VA

$140K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

Be an early applicant


Job description

Benefits:
  • 401(k)
  • Competitive salary
  • Dental insurance
  • Flexible schedule
  • Health insurance
  • Opportunity for advancement
  • Paid time off
  • Training & development
  • Vision insurance

Location: Hybrid - Washington D.C. / DMV Based
Clearance: Active DoD Secret clearance required
Citizenship: U.S. Citizenship required
Position Overview
IntelliTech is seeking a Senior Data Engineer to support mission-critical programs focused on data integration, analytics enablement, and operational decision support in secure federal environments. In this role, you will work closely with engineers, analysts, and mission stakeholders to develop scalable data pipelines, integrate enterprise data sources, and enable reporting and visualization workflows across modern analytics and BI platforms.
The ideal candidate brings strong hands-on experience with Python, SQL, data pipeline development, and enterprise analytics platforms such as Databricks, Palantir, Tableau, Power BI, Qlik, or similar tools. This role is designed for an engineer who can support the full lifecycle of data solutionsfrom ingestion and transformation through validation, analytics enablement, visualization support, and sustainment.
Key Responsibilities

  • Design, develop, and maintain scalable data pipelines to ingest, transform, validate, and operationalize data from a variety of enterprise sources.
  • Build and support data integration workflows across structured and unstructured data sources, including APIs, files, cloud storage, databases, and enterprise platforms.
  • Enable analytics and reporting use cases by preparing curated datasets and supporting integration with BI and analytics tools such as Tableau, Databricks, Palantir, Power BI, Qlik, or similar platforms.
  • Support the development of data models, transformation logic, and reusable engineering patterns that improve data access, decision support, and operational visibility.
  • Collaborate with analysts, engineers, and stakeholders to refine requirements and deliver data products aligned to mission needs.
  • Support testing, debugging, validation, and performance tuning of data pipelines and analytics workflows.
  • Leverage Git-based repositories and version control best practices to manage engineering efforts.
  • Participate in Agile development activities, including sprint planning, backlog refinement, demos, and retrospectives.
  • Document technical designs, data flows, transformation logic, and engineering processes to support maintainability and knowledge transfer.
  • Contribute to secure, scalable, and repeatable delivery practices across cloud and DevSecOps environments.
Required Qualifications
  • Active DoD Secret clearance.
  • Bachelors degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline and 4+ years of relevant experience; or Masters degree in a related field and 2+ years of relevant experience.
  • Strong experience building or supporting data pipelines, ETL/ELT workflows, and data integration solutions in enterprise environments.
  • Hands-on experience with Python and SQL.
  • Experience with one or more modern analytics, BI, or data platform tools such as Databricks, Palantir, Tableau, Power BI, Qlik, or similar technologies.
  • Experience supporting reporting, analytics, dashboarding, or data visualization use cases.
  • Familiarity with cloud-based data environments and enterprise data workflows.
  • Familiarity with Git-based version control and collaborative development workflows.
  • Strong problem-solving and troubleshooting skills.
  • Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams.
Preferred Qualifications
  • Experience supporting mission-oriented analytics, logistics, operational, financial, or other large-scale federal data environments.
  • Experience with Spark, PySpark, Databricks notebooks, semantic models, BI dashboards, or enterprise reporting pipelines.
  • Experience with Palantir platform components, including Foundry, ontology concepts, or data workflows.
  • Familiarity with DevSecOps best practices, CI/CD workflows, and modern software delivery methodologies.
  • Experience working in Agile environments supporting enterprise software or analytics platforms.
  • Exposure to data governance, metadata management, lineage, or enterprise data architecture concepts.
  • Experience working with APIs, S3/object storage, or cloud-native data services.
  • Top Secret clearance or eligibility is a plus.
Interview Process

Video interview required and may include a technical assessment.
Candidates should be prepared to discuss:
  • their hands-on experience building data pipelines and analytics workflows
  • examples of data integration, reporting, or BI solutions they have built or supported
  • mission or business problems their solutions helped solve
  • their experience working with large datasets and enterprise data environments
  • their proficiency with Python, SQL, and analytics / BI tools such as Databricks, Tableau, Palantir, Power BI, or Qlik
  • their availability to support work in the Washington, DC Metro Area as needed
Work Authorization / Clearance Sponsorship
At this time, IntelliTech will only consider candidates who currently possess an active Secret clearance or higher. Clearance sponsorship is not available for this role.
Compensation and Benefits
IntelliTech is committed to fair and equitable compensation practices. Actual compensation packages are based on several factors unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on these factors, IntelliTech utilizes the full width of the salary range.
IntelliTech provides a comprehensive benefits package designed to support employees well-being and professional growth, including health, dental, and vision insurance, a 401(k), paid time off, professional development opportunities, and flexible work arrangements to support work-life balance.
Equal Opportunity Employer
At IntelliTech, we are committed to building a diverse and inclusive workplace. We believe a variety of backgrounds and perspectives leads to stronger teams and better solutions. IntelliTech is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, gender, age, disability, or veteran status. We encourage all qualified candidates to apply.

Flexible work from home options available.