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Sql Python Internship Jobs in Virginia (NOW HIRING)

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Sql Python Internship information

What is a SQL Python internship?

A SQL Python Internship is a temporary training position designed for students or recent graduates who want hands-on experience working with SQL databases and Python programming. Interns typically assist with data analysis, database management, and automation tasks using SQL and Python. The role helps individuals develop technical skills, gain exposure to real-world projects, and prepare for a career in data science, analytics, or software development.

What are some common projects or tasks I might work on during a SQL Python internship?

As a SQL Python intern, you can expect to work on a variety of data-driven projects such as cleaning and analyzing datasets, building data pipelines, and creating reports or dashboards. Typical tasks may include writing SQL queries to extract or manipulate data from databases, developing Python scripts for automation, and collaborating with data analysts or engineers on ongoing projects. You'll likely participate in team meetings, contribute to code reviews, and receive mentorship to help you develop both technical and professional skills. This hands-on experience is valuable for building a foundation in data engineering or analytics roles.

What are the key skills and qualifications needed to thrive as an SQL Python intern, and why are they important?

To succeed as an SQL Python Intern, you should have a foundational understanding of database concepts, SQL querying, and Python programming, often supported by coursework or relevant certifications. Familiarity with database management systems like MySQL or PostgreSQL, and experience using tools such as Jupyter Notebooks or version control systems like Git, are typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns collaborate and solve problems efficiently. These skills enable interns to contribute to data-driven projects and support the technical needs of their team.

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

AspectSql Python InternshipData Analyst Internship
Required SkillsSQL, Python, basic data manipulationSQL, Excel, data visualization
Work EnvironmentTech companies, startups, data teamsBusiness, finance, marketing sectors
Industry UsageData engineering, software developmentBusiness insights, reporting

Sql Python Internships focus on developing skills in SQL and Python for data extraction and manipulation, often within tech environments. Data Analyst Internships emphasize data visualization and reporting skills for business decision-making. While both roles involve data handling, Sql Python Internships are more technical and programming-oriented, whereas Data Analyst Internships focus on interpreting data for strategic insights.

What are the most commonly searched types of Sql Python jobs in Virginia?

The most popular types of Sql Python jobs in Virginia are:

What cities in Virginia are hiring for Sql Python Internship jobs?

Cities in Virginia with the most Sql Python Internship job openings:

Associate Data and Analytics Engineer

Virginia Tech

Blacksburg, VA • Remote

$117K - $140K/yr

Full-time

Posted 11 days ago


Virginia Tech rating

7.8

Company rating: 7.8 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

229th of 618 rated colleges and universities


Job description

Associate Data and Analytics Engineer

Apply now Back to search results Job no: 537205
Work type: Administrative & Professional
Senior management: Vice President-Info Technology
Department: Enterprise Services
Location: Blacksburg, Virginia, Fully Remote, Hybrid
Categories: Information Systems / Technology

Job Description

Virginia Tech is seeking an Associate Data and Analytics Engineer to support the development, maintenance, and operation of enterprise data, analytics, and reporting solutions that enable institutional reporting, decision support, and data-informed decision-making across the university.


Working under the guidance of senior data and analytics professionals, this position will assist with developing data pipelines, supporting cloud-based data platforms, maintaining enterprise data assets, and creating reports, dashboards, and analytical solutions. The position provides an early-career professional with opportunities to develop proficiency in enterprise data management, analytics engineering, business intelligence, and cloud data platform operations using technologies such as Snowflake, AWS, SQL, Python, and Power BI.
Why Join Virginia Tech
Join a team that is building the next generation of enterprise data and analytics capabilities at one of the nation's leading R1 research universities. In this role, you will work with modern cloud data technologies, Snowflake, advanced analytics, and emerging AI capabilities while helping enable research, student success, academic operations, and institutional decision-making at enterprise scale.
Key Responsibilities
Support the day-to-day operation of enterprise data and analytics platforms, including monitoring scheduled jobs, data pipelines, reports, dashboards, and platform services.
Assist with troubleshooting data quality, integration, performance, and platform issues, escalating complex matters to senior team members as appropriate.
Participate in incident response, issue resolution, service restoration, monitoring, alerting, and operational automation activities.
Assist in developing, maintaining, testing, and monitoring data pipelines, integrations, and ETL/ELT workflows supporting Snowflake-based analytics solutions.
Support the creation and maintenance of enterprise data assets, data models, and transformations used for institutional reporting and analytics.
Develop SQL queries and scripts for data processing, reporting, analytics, validation, and operational needs.
Perform data validation, testing, reconciliation, and quality assurance to support the accuracy, completeness, and reliability of enterprise data.
Apply established data governance, metadata, data quality, security, privacy, and access-control standards and practices.
Assist with developing and maintaining dashboards, reports, visualizations, and self-service analytics solutions using approved enterprise tools.
Work with business and technical staff to understand reporting and analytics requirements and participate in report validation, user testing, and solution implementation.
Provide customer support and guidance related to enterprise reporting and analytics services.
Contribute to technical documentation, operational procedures, training materials, user adoption, knowledge sharing, and continuous improvement initiatives.

Required Qualifications

Bachelor's degree in Computer Science, Information Technology, Information Systems, Business, Data Analytics, or a related field, or an equivalent combination of education, training, and experience.
Foundational knowledge of data management, reporting, analytics, or business intelligence concepts.
Experience writing scripts, version control (GIT) and the development life cycle.
Experience developing SQL queries and working with relational databases.
Experience supporting software applications, data solutions, reporting systems, or analytics platforms through coursework, internships, student employment, or professional experience.
Ability to learn new technologies, business processes, and technical concepts.
Demonstrated ability to communicate technical concepts and information effectively to both technical and non-technical audiences.
Demonstrated analytical, troubleshooting, and problem-solving skills.
Demonstrated ability to organize work, manage multiple priorities, adapt to changing business needs, and complete assigned responsibilities within established timelines.

Preferred Qualifications

Exposure to cloud data platforms such as Snowflake or comparable technologies.
Experience with a code release process (DevOps)
Experience developing reports, dashboards, or data visualizations.
Exposure to Python, automation, or data processing workflows.
Familiarity with ETL/ELT, data modeling, data warehousing, or analytics engineering concepts.
Experience with reporting or BI tools such as Power BI, Tableau, MicroStrategy, or similar platforms.
Experience gained through internships, assistantships, capstone projects, student employment, or professional work.
Familiarity with higher education data domains or enterprise administrative systems.
Demonstrated ability to collaborate effectively with cross-functional teams, stakeholders and data stewards, while completing assigned work with appropriate guidance.

Overtime Status

Exempt: Not eligible for overtime

Appointment Type

Regular

Salary Information

$62,665 - $76,590

Hours per week

40

Review Date

8/18/2026

Additional Information

No visa sponsorship is available for this position.

The successful candidate will be required to have a criminal conviction check.

About Virginia Tech

Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.

Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance.  These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.

Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.

If you are an individual with a disability and desire an accommodation, please contact IT Human Resources at ithr@vt.edu during regular business hours at least 10 business days prior to the event.

Advertised: August 5, 2026
Applications close: August 18, 2026 Eastern Daylight Time

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About Virginia Tech

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Virginia Tech, guided by its motto "Ut Prosim" (That I May Serve), embraces a hands-on, interdisciplinary approach to educate scholars as leaders and problem-solvers. As a comprehensive land-grant institution, it enriches the quality of life in Virginia and worldwide, fostering an inclusive community focused on knowledge, discovery, and creativity. With over 280 majors, the university serves a diverse student body of more than 36,000 across undergraduate, graduate, and professional programs. Virginia Tech's presence extends throughout Virginia, including campuses in Northern Virginia, Roanoke, Newport News, and Richmond, along with multiple Extension offices and research centers. As a prominent global research institution, it conducts over $500 million in research annually.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Blacksburg, VA, US

Year founded

1872

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