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Sql Python Internship Jobs (NOW HIRING)

Guidehouse

Junior Data Engineer

Mclean, VA · On-site

Bachelor's degree obtained * 3 years of experience (or strong internship/coop experience) in data engineering, ETL/ELT, or pipeline development using SQL and Python. * Working proficiency in SQL and ...

Together AI

Data Warehouse Engineer

San Francisco, CA · On-site

... Use SQL, Python, and Spark where scale demands it; optimize for correctness, performance, and cost. Qualifications : Required : • 0-4 years of professional experience (or strong internships ...

NOV, Inc.

Senior Data Scientist

Houston, TX · On-site

... interns, junior data scientists and analysts * Translate advanced analytics results into strategic recommendations for VP and C-level leadership * Utilize programming languages such as SQL, Python ...

NOV, Inc.

Senior Data Scientist

Houston, TX · On-site

... interns, junior data scientists and analysts * Translate advanced analytics results into strategic recommendations for VP and C-level leadership * Utilize programming languages such as SQL, Python ...

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How much do sql python internship jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for sql python internship in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs at the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as audit, consulting, tax, and advisory, providing valuable experience for students pursuing careers in finance, accounting, and consulting. For a SQL Python internship, gaining experience at these firms can be beneficial, especially if the role involves data analysis or technology projects.

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.

Is a Python internship worth it?

A Python internship provides practical experience in programming, data analysis, and scripting, which can enhance your skills and improve employability. For a SQL Python internship, gaining hands-on experience with real-world projects and tools like pandas or SQL databases can be valuable for future roles in data analysis 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 jobs can you get with SQL and Python?

Jobs that require SQL and Python include data analyst, data scientist, database administrator, business intelligence analyst, and software developer. These roles involve data management, analysis, automation, and building data-driven applications, often requiring proficiency in both programming languages and related tools like SQL databases and data visualization software.

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.

Is Python and SQL enough to get a job?

For a SQL Python internship, proficiency in both SQL and Python is essential, but employers often look for additional skills such as data analysis, problem-solving, and familiarity with tools like Git or databases. Gaining practical experience through projects or certifications can improve job prospects, as these skills are commonly required in data-related roles.
More about Sql Python Internship jobs
What cities are hiring for Sql Python Internship jobs? Cities with the most Sql Python Internship job openings:
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What job categories do people searching Sql Python Internship jobs look for? The top searched job categories for Sql Python Internship jobs are:
Sql Python Internship jobs near you
Infographic showing various Sql Python Internship job openings in the United States as of July 2026, with employment types broken down into 9% Internship, 1% As Needed, 68% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Junior Data Engineer

Junior Data Engineer

Guidehouse

Mclean, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 20 days ago

Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

37th of 58 rated business consultants

Job description

Job Family:
Data Engineering & Architecture Consulting
Travel Required:
Up to 10%
Clearance Required:
Active Secret
Job Summary
The Junior Data Engineer supports system-specific implementations that enable enterprise ingestion by assisting in the design, build, and operation of automated metadata harvesting pipelines that populate DHA-EDC content on reliable schedules.
This role focuses on hands-on engineering using SQL/Python/R to develop connectors and extraction scripts, implement validation rules, and configure refresh frequencies to support completeness, accuracy, and timeliness of harvested metadata.
Working closely (in-person and virtually) with source system SMEs, the Junior Data Engineer helps safely extract metadata from authorized sources and escalates tool constraints and design decisions to Architects within the approved architecture.
In support of an automated metadata harvesting and documentation, this role contributes to building and orchestrating metadata extraction pipelines to ensure timely population of DHA-EDC content.
Key Responsibilities
  • Assists in engineering metadata harvesting pipelines (SQL/Python/R), connectors, validation rules, and refresh frequencies for system-specific implementations supporting enterprise ingestion.
  • Collaborates in-person/virtually with source system SMEs to safely extract metadata from relevant sources and validate results during review cycles.
  • Supports implementation and testing of automated metadata harvesting tools and ETL/ingestion workflows to enable real-time or scheduled extraction.
  • Implements validation checks to help measure metadata completeness, accuracy, and timeliness, including coverage reporting and issue flagging for remediation.
  • Participates in defect triage and troubleshooting for failed harvest runs, refresh delays, or validation errors; documents findings and supports re-runs after fixes.
  • Co-develops the metadata harvesting plan with Architects and program stakeholders; translates requirements into build tasks and technical documentation.
  • Produces and maintains technical documentation for pipelines, connector configurations, validation logic, and refresh schedules to support sustainment and knowledge transfer.

What you will need:
  • Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST". Candidates with an ACTIVE SECRET CLEARANCE OR PUBLIC TRUST or SUITABILITY are preferred. Ability to meet the project's client security and access requirements.
  • Bachelor's degree obtained
  • 3 years of experience (or strong internship/coop experience) in data engineering, ETL/ELT, or pipeline development using SQL and Python.
  • Working proficiency in SQL and Python; familiarity with R is a plus for statistical validation and profiling.
  • Familiarity with building or supporting connectors/extractors (e.g., relational sources, APIs, file-based repositories) and running scheduled jobs.
  • Ability to collaborate with technical SMEs and follow structured validation and documentation processes.
  • Once onboard with Guidehouse, new hire MUST be able to OBTAIN and MAINTAIN a Federal or DoD "Secret" security clearance.
  • Strong written and verbal communication skills; ability to document technical work clearly and escalate issues appropriately.

What Would Be Nice to Have:
  • Bachelor's degree in computer science, Information Systems, Engineering, or a related field (or equivalent practical experience).
  • Exposure to metadata/catalog patterns (e.g., metadata harvesting, catalog population concepts, lineage/semantic discovery concepts).
  • Hands on experience performing data engineering related to metadata harvesting efforts.
  • Hands on experience with leading data cataloging solutions such as Collibra, Alation, Unity Catalog, Azure Purview, or AWS Glue.
  • Experience supporting testing/validation workflows (e.g., rule-based checks, completeness/accuracy/timeliness metrics, defect tracking).
  • Familiarity working in Agile delivery teams and using backlog/issue tracking tools.
  • Prior experience in federal health, healthcare.

What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Position may be eligible for a discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Basic Life & Supplemental Life
  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Student Loan PayDown
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend

About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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