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Data Infrastructure Internship Jobs (NOW HIRING)

Hillpointe

Data Analytics Intern

Winter Park, FL

$20/hr

... internship offering $20/hour, with hands-on experience in building scalable data systems. The Data Analytics Intern will support our team in building and maintaining the data infrastructure that ...

Hillpointe

Data Analytics Intern

Winter Park, FL · On-site

$20/hr

... internship offering $20/hour, with hands-on experience in building scalable data systems. The Data Analytics Intern will support our team in building and maintaining the data infrastructure that ...

Amazon

Data Engineer II , UTR Data Engineering

Bellevue, WA · On-site

$129K - $155K/yr

UTR Planning Tech builds the data infrastructure that powers labor planning across 12 Amazon last ... Mentor engineers and interns. Train new team members on how team data solutions are constructed ...

Tutorperini

Data and Analytics Intern

Los Angeles, CA · On-site

$20/hr

This role offers a hands-on opportunity to work with modern data tools and platforms in a collaborative, real-world environment focused on construction and infrastructure. Interns will work ...

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Data Infrastructure Internship information

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How much do data infrastructure internship jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for data infrastructure internship in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Data Infrastructure Internship vs Data Engineer?

AspectData Infrastructure InternshipData Engineer
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fieldsBachelor's or Master's in Computer Science, Software Engineering, or related fields; often requires professional experience
Work EnvironmentInternship setting, often in tech companies or data-driven organizations, with mentorshipFull-time professional role, involved in designing, building, and maintaining data systems
Employer & Industry UsageUsed by companies hiring interns to support data infrastructure projectsUsed by organizations to develop scalable data pipelines and infrastructure

The Data Infrastructure Internship is an entry-level position aimed at students or recent graduates gaining hands-on experience. In contrast, a Data Engineer is a full-time professional responsible for developing and maintaining data systems. Internships provide foundational exposure, while Data Engineers handle complex, ongoing data infrastructure tasks.

More about Data Infrastructure Internship jobs
What cities are hiring for Data Infrastructure Internship jobs? Cities with the most Data Infrastructure Internship job openings:
What are the most commonly searched types of Data Infrastructure jobs? The most popular types of Data Infrastructure jobs are:
What states have the most Data Infrastructure Internship jobs? States with the most job openings for Data Infrastructure Internship jobs include:
What job categories do people searching Data Infrastructure Internship jobs look for? The top searched job categories for Data Infrastructure Internship jobs are:
Data Infrastructure Internship jobs near you
Infographic showing various Data Infrastructure Internship job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 89% Full Time, and 10% Part Time. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Data Analytics Intern

Data Analytics Intern

Hillpointe

Winter Park, FL

$20/hr

Internship

Posted 16 days ago

Job description

WHY HILLPOINTE? Hillpointe is a fully integrated real estate development and investment management firm focused on developing market-rate workforce housing across the Sun Belt. Ranked at the top of NMHC's list of Builders and Developers, our team ensures best-in-class execution.

Built on its long and proven track record of real estate development, the firm's investment approach is centered around its in-house general contracting expertise, enabling direct control of cost and delivery timeframe. For each project, Hillpointe directly controls land acquisition, land development, construction, procurement of building materials, asset management, and capital markets. This is more than just a job - it's a career-defining opportunity! At Hillpointe, you'll be part of a dynamic, innovative team that has tangible impacts on day-to-day operations and contributes directly to overall success.

Data Analytics Intern

This is a paid internship offering $20/hour, with hands-on experience in building scalable data systems.

The Data Analytics Intern will support our team in building and maintaining the data infrastructure that powers reporting and analytics across the organization. This role offers exposure to database design, data integration, and modern cloud platforms. The ideal candidate is technically curious and passionate about building clean, scalable data systems.

KEY RESPONSIBILITIES

  • Assist in designing and maintaining data models that serve as the foundation for Power BI dashboards and reports
  • Build and optimize semantic models, relationships, and calculated measures to support self-service reporting
  • Write and refine SQL queries to extract, transform, and validate data feeding into reporting layers
  • Support the development of data pipelines that consolidate information from multiple operational systems
  • Respond to ad hoc reporting and data requests from leadership, asset management, operations, and finance teams
  • Perform data quality checks and troubleshoot discrepancies between source systems and reports
  • Assist in building and maintaining Power BI workspaces, datasets, and refresh schedules
  • Research best practices in report performance optimization, data modeling, and platform scalability

QUALIFICATIONS

Required

  • Currently pursuing or recently completed a degree in Computer Science, Data Science, Information Systems, or a related field
  • Experience with SQL and relational database concepts
  • Basic understanding of data modeling principles
  • Familiarity with Power BI or similar visualization tools
  • Strong attention to detail and organizational skills
  • Effective communication skills with the ability to explain data concepts to non-technical audiences
  • Ability to work in a collaborative, fast-paced environment

Preferred

  • Exposure to DAX, Power Query, or semantic model development
  • Familiarity with cloud data platforms or modern analytics tools
  • Basic experience with Python or scripting for data tasks
  • Interest in data warehousing, Lakehouse architecture, or ETL/ELT concepts
  • Prior experience through internships, academic projects, or bootcamps