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Data Engineering Intern Jobs in Oklahoma (NOW HIRING)

TERRACON

Field Engineer

Oklahoma City, OK · On-site

May work with engineering technician crews in testing, observations and data gathering activities ... Engineering Intern (Engineer in Training) (Or ability to obtain) About Us Terracon is a 100 percent ...

PCI

Software Analyst - Intern

Norman, OK · On-site

Validate Alignment of Data and Integration requirements * Validate test scenarios mapping to ... Currently enrolled in a Degree of Computer Science, System Engineering or related field

Healy World

Data Domain Manager

Edmond, OK · On-site

$110 - $140/hr

Partner with Engineering teams to ensure foundational capabilities support domain needs. Drive Data ... Church, every staff member, and intern is a minister and is expected to engage in the church ...

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All JobsData Engineering Intern JobsData Engineering Intern Jobs in Oklahoma

Data Engineering Intern information

See Oklahoma salary details

$10

$17

$27

How much do data engineering intern jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data engineering intern in Oklahoma is $17.83, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $19.33 per hour, depending on experience, location, and employer.

What does a data engineering intern do?

A Data Engineering Intern assists in building and maintaining the systems and infrastructure that allow organizations to collect, store, and analyze large volumes of data. Their responsibilities often include cleaning and organizing raw data, developing data pipelines, and supporting the work of data engineers and data scientists. Interns may also work with tools like SQL, Python, and cloud platforms to automate data workflows. This role provides hands-on experience in managing data processes and understanding the fundamentals of data engineering in a real-world environment.

What types of projects and technologies can a data engineering intern expect to work with during their internship?

As a Data Engineering Intern, you’ll typically work on projects involving data pipeline development, data cleaning, and integration of data from various sources. You can expect to use technologies like SQL, Python, and tools such as Apache Spark, Hadoop, or cloud platforms like AWS or Google Cloud. Interns often collaborate closely with data engineers, analysts, and sometimes data scientists to ensure data is accessible, reliable, and well-organized for analysis. This hands-on experience helps you build foundational skills and understand real-world data workflows within a collaborative team environment.

What are the key skills and qualifications needed to thrive as a data engineering intern, and why are they important?

To thrive as a Data Engineering Intern, you need foundational knowledge in programming (especially Python or Java), databases, and data structures, often obtained through coursework in computer science or related fields. Familiarity with SQL, cloud platforms (like AWS or Azure), and data pipeline tools such as Apache Spark or Airflow is typically required. Strong problem-solving skills, attention to detail, and effective communication set exceptional interns apart. These skills and qualities are crucial for efficiently handling data workflows, collaborating with teams, and contributing to high-quality data solutions.

What is the difference between Data Engineering Intern vs Data Analyst Intern?

AspectData Engineering InternData Analyst Intern
Required SkillsBasic SQL, programming (Python, Java), understanding of data pipelinesData visualization, SQL, statistical analysis
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness intelligence teams, reporting tools, dashboards
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, retail, business sectors

While both roles involve working with data, a Data Engineering Intern focuses on building and maintaining data pipelines and infrastructure, whereas a Data Analyst Intern analyzes data to generate insights and reports. The roles share some technical skills like SQL but differ in their core responsibilities and work environments.

What are the most commonly searched types of Data Engineering jobs in Oklahoma?

The most popular types of Data Engineering jobs in Oklahoma are:

What cities in Oklahoma are hiring for Data Engineering Intern jobs?

Cities in Oklahoma with the most Data Engineering Intern job openings:

Data Engineering Intern jobs near you
Infographic showing various Data Engineering Intern job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $37,094 per year, or $17.8 per hour.

Applied AI Engineer Intern / Basketball Operations

Oklahoma City Thunder

Oklahoma City, OK • On-site, Remote

Internship

Posted 5 days ago

Job description

The Oklahoma City Thunder is an elite performance organization and a leading franchise in the NBA. Beyond any single game, season, or outcome, we're driven to shape the future of our industry, our community, and our own legacy in sports.
We're looking for people who want to make an impact-individuals with the courage and ambition to think and work differently and an endless desire to initiate progress. At the Thunder, you're joining a culture that performs at the highest level and empowers you to realize your greatest potential.
As an Applied AI Engineer Intern in Basketball Operations, your work is vital to uncovering valuable insights that help shape the organization's future - influencing strategy, decision-making, and performance to build the optimal conditions for talent to thrive.
You will work with colleagues, internal infrastructure, and internal and external data sources to develop and deploy integrated artificial intelligence applications that support decision making within strategic planning, player evaluation, basketball analytics, and player performance.
Responsibilities:
  • Develop, deploy, and integrate artificial intelligence models into the systems that drive real-time decisions within basketball operations in collaboration with a team of software engineers and data scientists

Qualifications:
  • Working toward an undergraduate, graduate or doctoral degree in computer science or related field
  • Advanced proficiency in Python and relevant ML libraries such as PyTorch, TensorFlow, or JAX
  • Advanced SQL skills and experience querying large analytical warehouses (e.g., AWS Redshift, AWS Athena)
  • Experience building RAG pipelines and fine-tuning foundation models for specific business tasks
  • Experience working with large, spatiotemporal datasets in an AI / ML context a plus
  • Experience with cloud-ML tooling such as AWS SageMaker and Bedrock a plus
  • Experience working with and protecting confidential information
  • Good communication and interpersonal skills with the ability to deliver clear and effective messages to a variety of partners

Additional details:
This is a remote paid internship reporting into the Insight & Foresight pillar. Work schedule may include working on short notice as well as work on evenings, weekends, and holidays. Work hours will total no more than 29 hours per week.
The Thunder recognizes that teams with a variety of backgrounds, perspectives and skills make a stronger company. As an Equal Opportunity Employer, the Thunder organization considers applicants fairly on the basis of qualifications, experience and business needs and provides equal opportunity regardless of race, color, age, sex, ancestry, ethnicity, national origin, religion, veteran status, marital status, pregnancy, disability, gender identity, sexual orientation, or any other legally protected status. Applicants are considered regardless of past legal system involvement, based upon the needs of the role, nature of and recency of legal history. The Thunder is committed to a welcoming and inclusive environment for all employees through its RAVE culture - Respect and Value Everyone.

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