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Data Engineering Intern Jobs in Grand Prairie, TX

Copart, Inc.

Data Engineering Intern

Dallas, TX · On-site

The Data Engineer Intern will be part of the Data Engineering Team. The Data Engineering team works very closely with all aspects of applications and data pipelines. We are looking for a Data ...

Ad hoc Research

Software Engineer Intern

Plano, TX

Software Engineer Intern Position Overview: We are seeking talented and driven individuals to join ... Familiarity with data engineering tools and frameworks (e.g., Hadoop, Spark, Kafka). * Basic ...

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Data Engineering Intern information

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How much do data engineering intern jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data engineering intern in Grand Prairie, TX is $18.28, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $19.81 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 cities near Grand Prairie, TX are hiring for Data Engineering Intern jobs?

Cities near Grand Prairie, TX with the most Data Engineering Intern job openings:

Data Engineering Intern jobs near you
Infographic showing various Data Engineering Intern job openings in Grand Prairie, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $38,027 per year, or $18.3 per hour.

Data Engineering Intern

Copart, Inc.

Dallas, TX • On-site

Full-time

Re-posted 4 days ago

Copart rating

6.8

Company rating: 6.8 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

12th of 19 rated auctioneers

Job description

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology.
The Data Engineer Intern will be part of the Data Engineering Team. The Data Engineering team works very closely with all aspects of applications and data pipelines. We are looking for a Data Engineer Intern to assist in design, development, and optimizing the flow of data throughout the organization, enabling end user to provide valuable insights of data across Copart. In this role, your work will broadly influence the company's data consumers, executives, and analysts.
Key Responsibilities
  • Design and build the next generation data platform
  • Develop and automate data processing systems to deliver data insights at an enterprise scale.
  • Develop logging, metrics, and alerts that enable active monitoring of designed processes.
  • Collaborate with Product Managers and Application teams to develop data models and schemas that help provide easy access to complex data sets.
  • Assist in maintaining data integrity in production systems
  • Ability to balance and prioritize multiple conflicting requirements with high attention to detail.

Qualifications Requirements
  • Bachelor's degree or higher in computer science, Engineering or similar
  • 1+ years of experience designing, developing, testing and implementing scalable, high-performing data warehouse and BI solutions
  • Good hands-on Experience on real-time data pipelines including Kinesis and Kafka , understanding of Database architecture including MPP and ad-hoc analysis using BI/Analytical tools like Tableau, Pentaho, OBIEE or Power BI
  • Proven ability to analyze complex business problems using data and translate them into actionable insights stemming from data analysis
  • Experience with ETL and Data Blending and Transformation tools such as Pentaho Data Integrator, Talend Data Integration, Informatica
  • Enterprise development knowledge and/or experience with databases such as SQL Server, Oracle, MySQL and Columnar databases like Vertica, Snowflake , MemSQL , Netezza , Redshift
  • Good understanding of technology and industry and able to make decisions on the best technology for integrated solutions
  • Proven ability to communicate with business and technical audiences at all levels, including demonstrated success influencing senior leaders and decision makers
  • Technical Skill Required: SQL, Python. BI/Analytical Tool Preferred: Tableau, Pentaho, PowerBI

#LI-KK1
At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully.
E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
  • E-verify Participation
  • Right to Work

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