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Data Engineering Intern Jobs in Oklahoma (NOW HIRING)

Fire Protection Intern

Tulsa, OK

$15.25 - $19.75/hr

MPW Engineering, LLC has a full-time position for an Engineering Intern in the field of Fire ... and data collection with travel required. The position requires a Bachelor degree in a relevant ...

Engineering Intern

Oklahoma City, OK · On-site

$15.50 - $20.25/hr

Confers with workers in other departments such as marketing, legal, and engineering, to provide ... REASONING ABILITY Ability to define problems, collect data, establish facts, and draw valid ...

Analyze and interpret data to improve processes and efficiency * Troubleshoot and solve production ... Document engineering changes, technical reports, and process updates * Ensure compliance with ...

Engineering Intern - Summer Internship

Durant, OK · On-site

$13.50 - $17.50/hr

Analyze and interpret data to improve processes and efficiency * Troubleshoot and solve production ... Document engineering changes, technical reports, and process updates * Ensure compliance with ...

... ANS's geotechnical engineering initiatives by conducting soil testing within our in-house ... Data Recording: Maintain comprehensive documentation of test procedures, observations, and results ...

... ANS's geotechnical engineering initiatives by conducting soil testing within our in-house ... Data Recording: Maintain comprehensive documentation of test procedures, observations, and results ...

$13.50 - $18/hr

Overview Join our growing data security company as a Marketing Design Intern. In this role, you'll ... Our data security posture management platform is engineered specifically to address modern data ...

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Data Engineering Intern information

See Oklahoma salary details

$10

$17

$27

How much do data engineering intern jobs pay per hour?

As of Jul 28, 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 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 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 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 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 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:
Infographic showing various Data Engineering Intern job openings in Oklahoma as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $37,094 per year, or $17.8 per hour.

AI Flight Optimization Engineering Intern

Skydweller US

Oklahoma City, OK • On-site

$15.50 - $20/hr

Part-time, Internship

Posted 6 days ago


Job description

About Skydweller
Skydweller is developing the world's largest autonomous solar-powered aircraft, designed to provide persistent, long-duration flight capabilities for defense, and commercial missions. Our aircraft combines advanced aerospace engineering, autonomy, renewable energy technologies, and artificial intelligence to enable next-generation aviation capabilities.
Skydweller's engineering and flight-test programs generate significant volumes of aircraft telemetry, environmental data, and mission information. We are applying emerging AI technologies to transform this data into actionable insights that improve aircraft performance, operational efficiency, and mission planning.
About the Role
Skydweller is seeking an intern to support the development of an Agentic AI system dedicated to flight operations and optimization for long-endurance unmanned aircraft systems (UAS).
The intern will work alongside experienced aerospace, software, and AI engineers to design and prototype an Agentic AI system capable of analyzing flight-test telemetry, weather data, and mission constraints to generate recommendations that improve endurance, energy efficiency, and aircraft performance.
The intern will participate in a structured, mentored R&D experience progressing from AI fundamentals through implementation and validation of a functional prototype supporting Skydweller's flight optimization efforts.
Why Join Skydweller?
This internship provides a unique opportunity to work on advanced aerospace technology while helping define the future of AI-assisted engineering.
Unlike traditional AI projects focused on generic applications, this role applies emerging AI technologies to a real-world autonomous aircraft program. The intern will contribute directly to the development of tools that improve aircraft endurance, mission effectiveness, and engineering decision-making.
Successful candidates will gain experience at the intersection of artificial intelligence, aerospace engineering, and autonomous systems, while working with an experienced team developing next-generation aviation capabilities.
Student Requirements
  • Interns must be currently enrolled undergraduate or graduate students at an Oklahoma college/university, or CareerTech students concurrently enrolled in college-level coursework
  • Due to the nature of the work, the intern needs to be a U.S. Person (US Citizen/Green Card holder)

Qualifications
  • Graduate or upper-level undergraduate student in Computer Science, Aerospace Engineering, or related field
  • Proven experience with Python programming
  • Prior participation in R&D projects, especially in the fields of AI-agent, Aerospace, or Meteorology, is a plus
  • Familiarity with AI/ML concepts (LLMs, Deep Learning, etc.), or data processing preferred

Responsibilities
The AI Flight Optimization Engineering Intern will serve in a junior, mentored software development role within Skydweller's Research & Development environment. Responsibilities include:
  • Develop Python-based tools and AI workflows using modern software development practices and Git version control
  • Assist with data preparation, system testing, and validation activities
  • Document code, workflows, system architecture, and write activity reports
  • Participate in agile development cycles, design reviews, and technical discussions

Learning Experience
During the internship, the candidate will gain practical experience in:
  • Artificial intelligence and machine learning applications for aerospace systems
  • Agentic AI architectures and AI-enabled engineering workflows
  • Processing and analysis of aerospace telemetry datasets
  • Software development in a production-oriented aerospace environment
  • Autonomous aircraft operations and flight optimization concepts

Work Environment
This is a part-time 1-year internship onsite at the Skydweller Oklahoma City (OKC) Office. The role integrates the intern directly into active aerospace R&D workflows, providing exposure to advanced autonomous systems development and collaboration with AI and engineering teams.