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Internship Data Engineer C2C Jobs (NOW HIRING)

Data Engineer

Charlotte, NC · Hybrid

$111K - $134K/yr

This is a W2 contract opportunity, and the candidates should be willing to work on our W2 ONLY, NO C2C. Data Engineer Location: Charlotte, NC Type: W2 Contract - 12 months Work Schedule: Onsite ...

AI Data Engineer

Bartlett, IL · Remote

$113K - $136K/yr

AI Data Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright ... BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING ...

AI Data Engineer

Bartlett, IL · Remote

$113K - $136K/yr

AI Data Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright ... BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING ...

AI Data Engineer

Newark, CA · Remote

$100K - $150K/yr

AI Data Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright ... BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING ...

AI Data Engineer

Newark, CA · Remote

$100K - $150K/yr

AI Data Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright ... BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING ...

Azure Data Engineer

$117K - $140K/yr

C2C/Fulltime Client: Loblolly/State of Texas Position Requirements: Seeking outstanding Azure Data Engineers with various levels of experience to be responsible for the innovative design and ...

Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

C2C/W2 role Duration : Long Term : Data Engineer with 5+ years of experience in designing, developing, and maintaining scalable data pipelines supporting analytics, reporting, and operational ...

New

Big Data Engineer

$50 - $52/hr

Altimetrik/ Experian Pay Rate: $50-52/ C2C Position: Big Data Engineer Location : Remote, prefer Costa Mesa Here is JD for Big Data engineer (12+ yrs Exp) Excellent Scala, Pyspark, Java coding ...

New

No C2C resumes are considered** Responsibilities: * Architect and scale modern data platforms on ... Establish engineering best practices -- CI/CD, Infrastructure as Code, code reviews, documentation ...

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Internship Data Engineer C2C information

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$13

$25

$38

How much do internship data engineer c2c jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for internship data engineer c2c in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Data Engineer C2C, and why are they important?

To thrive as an Internship Data Engineer C2C, you need a solid understanding of data structures, programming (often Python or SQL), and database concepts, typically supported by ongoing studies in computer science or a related field. Familiarity with data engineering tools such as ETL platforms, cloud services (like AWS or Azure), and version control systems (such as Git) is commonly expected. Analytical thinking, attention to detail, and effective teamwork are crucial soft skills for collaborating on projects and troubleshooting complex data problems. These competencies enable you to contribute meaningfully to data pipeline development and ensure reliable data infrastructure in a real-world business context.

What types of projects and responsibilities can an Internship Data Engineer expect to handle, and how do these contribute to professional growth?

As an Internship Data Engineer, you can expect to assist with tasks such as developing data pipelines, cleaning and transforming datasets, and helping to integrate data from various sources. You'll often collaborate closely with data scientists, analysts, and senior engineers to understand business requirements and implement solutions. These hands-on responsibilities provide exposure to industry-standard tools and practices, helping you build a strong technical foundation and teamwork skills. Successfully completing these projects can pave the way for full-time opportunities and further specialization in data engineering.

What is an Internship Data Engineer C2C?

An Internship Data Engineer C2C is an entry-level or temporary data engineering position offered on a 'Corp-to-Corp' (C2C) basis, usually for students or recent graduates. The role involves working on projects related to data collection, processing, and management, often under the guidance of senior engineers. C2C means the intern is employed and paid through a third-party company, not directly by the hiring organization. This arrangement is common for contract roles in the tech industry, especially in the United States. Interns in this role gain hands-on experience with databases, data pipelines, and data analytics tools.
What cities are hiring for Internship Data Engineer C2C jobs? Cities with the most Internship Data Engineer C2C job openings:
What are the most commonly searched types of Data Engineer C2C jobs? The most popular types of Data Engineer C2C jobs are:
What states have the most Internship Data Engineer C2C jobs? States with the most job openings for Internship Data Engineer C2C jobs include:
Internship - Data Engineer, Commercial Audience Science (Spring 2027)

Internship - Data Engineer, Commercial Audience Science (Spring 2027)

Universal Creative

Orlando, FL

Other

Posted 15 days ago


Job description

Internship - Data Engineer, Commercial Audience Science (Spring 2027)

Apply now Job no: 662778
Work type: Seasonal
Location: Orlando
Categories: Internships, Orlando - Internships

Universal Destinations & Experiences Internship Program:
  • Applications Close: June 26th, 2026, at 11:55PM ET. Submit your application as soon as possible - don't delay!
  • Spring 2027 Program Dates:  Approximately January 2027 - April 2027
JOB SUMMARY:

The Data Engineering Intern will work with a team of data scientists and analysts to learn how to build and improve data sources that support business needs. In this role, the intern will gain hands-on experience working with both structured and unstructured data, helping to create scalable data pipelines and ensuring data is clean, reliable, and ready for analysis and machine learning. The intern will also get experience designing data workflows, running data quality checks, and supporting model development and deployment. Throughout the internship, they will learn best practices in data ingestion, data transformation, and data infrastructure. This experience will help the intern build practical skills in ETL pipelines, MLOps, and overall data engineering.

MAJOR RESPONSIBILITIES:
  • Support data scientists and analysts by building, maintaining, and optimizing data pipelines that enable analytics, insights, and machine learning models.
  • Help with ingesting, transforming, and validating structured and unstructured data, ensuring data quality, consistency, and availability.
  • Develop and maintain reusable data assets, models, and workflows that make data accessible for business use cases.
  • Participate in team meetings, code reviews, and learning sessions to build technical skills and understanding of real-world data platform development.
MINIMUM QUALIFICATIONS: 
  • Coursework or experience with data engineering and data structures.
  • Basic understanding of data architecture, databases, and data warehousing concepts.
  • Experience with Python/R and SQL for data cleaning, manipulation, transformation, and validation. Familiarity with ETL processes.
  • REST APIs, and building data pipelines.
  • Proficient skill level in Microsoft Suite. Strong verbal, written, and presentation skills.
  • In pursuit of an Associate, Bachelor or Graduate degree at an Accredited Institution with current class standing of Senior or above.
  • Minimum cumulative 2.8 GPA is required. 
  • A transcript is required upon application.
PREFERRED SKILLS & KNOWLEDGE:
  • Experience with Big Data or distributed processing tools (e.g., Snowflake, Databricks, Spark, Hadoop).
  • Experience with cloud platforms (e.g., Azure, AWS).
  • Experience with data visualization platforms (e.g., Power BI, Tableau).
  • Preferred majors include: Computer Science, Data Engineering, Data Science, Information Systems, or a related quantitative field.
Please note the following:
  • This internship will be an in-person experience, based in our Orlando offices.
  • Interns must be currently pursuing a degree at an accredited university, and must have a graduation date later than April 2027.
  • Universal Orlando does not provide housing. Interns are responsible for their own housing and transportation.
  • All of our internships are paid, and you may also qualify for housing financial assistance if applicable. The Recruiter will provide specific eligibility details.


Universal is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Universal Orlando via-email, the Internet or in any form and/or method without a valid written Statement of Work in place for this position from Universal Orlando HR/Recruitment will be deemed the sole property of Universal Orlando. No fee will be paid in the event the candidate is hired by Universal Orlando as a result of the referral or through other means. 


Universal Orlando Resort. Here you can.

Universal Orlando is an equal opportunity employer. Universal elements and all related indicia TM & 2026 Universal Studios. All rights reserved.

Advertised: Jun 11 2026 Eastern Daylight Time
Applications close: Jun 26 2026 Eastern Daylight Time

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