
2027 Summer Internship: Data Engineer
Denton, TXFull-timeSeen todaySeen in employer's feed today
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Job overview
Peterbilt Motors Company is seeking a Data Engineer Intern for its Advanced Analytics team in Denton, Texas. The intern will contribute to reporting and analytics, AI vision, and data pipeline projects, collaborating with product owners, analysts, business partners, and end users. The role uses AWS, Qlik Replicate, and Apache Airflow, and includes production support and work on data quality and architecture.
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Full job description
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Date: Nov 4, 2026
Location: Denton, TX, US, 76205-7864
Company: PACCAR
Company Information
PACCAR is a global technology leader in the design, manufacture and customer support of high-quality light-, medium- and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates. PACCAR also designs and manufactures advanced power trains, provides financial services and information technology, and distributes truck parts related to its principal business.
Peterbilt Motors Company
On highways, construction sites, city streets, logging roads - everywhere our customers earn their living - Peterbilt's red oval is a familiar symbol of performance, reliability and pride. Peterbilt has reigned as America's premium quality truck manufacturer since the company's founding in 1939. Our dedication to deliver products and services focused on improving customers' performance, image, profitability and peace of mind truly makes Peterbilt the Class of the Industry.
Requisition Summary
Peterbilt Motors Company, a PACCAR Company, has an opening for a Data Engineer Intern to add to our Advanced Analytics team in Denton, Texas.
Job Responsibilities
This position will be working on various projects and reports to include but not limited to:
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Design and implement reporting and analytics features in collaboration with product owners, data analysts, and business partners within an Agile/Scrum methodology.
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Design and implement AI vision solutions for image-based data processing and analytics.
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Proactively support product health by building solutions that are automated, scalable, and sustainable – be relentlessly focused on minimizing defects and technical debt.
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Provide post-implementation production support for data pipelines.
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Work closely with the business stakeholders and end users to plan, develop, and implement projects.
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Build and support automated data pipelines from a wide range of data sources using an AWS and Qlik Replicate-based technology stack with an emphasis on automation and scale.
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Orchestrate complex job sequences across technology stacks using Apache Airflow and other scheduling mechanisms.
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Contribute to overall architecture, framework, and design patterns to store and process high data volumes.
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Develop solutions to measure, improve, and monitor data quality based on business requirements.
Required Qualifications
The candidate we seek will be currently enrolled in a Bachelor’s or Master’s degree in computer science, Informatics, or a related program.
Preferred Qualifications
The qualifications that are important to be successful in this position are as follows:
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Basic proficiency with SQL and Python for data manipulation, query writing, and script development
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Experience participating in highly collaborative, multi-disciplinary team environments on complex projects
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Demonstrated knowledge and hands-on experience with reporting tools such as Tableau or Power BI
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Understanding of Generative AI models, their applications, and practical implications in business contexts
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Exceptional proficiency with Microsoft Office suite
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Excellent verbal and written communication skills for presenting findings to diverse stakeholders
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Strong ability to multitask and prioritize competing deadlines effectively
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Self-starter mentality with resourcefulness and independent problem-solving capabilities
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Strong professionalism and commitment to high-quality, ethical work standards
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Analytical mindset with the ability to interpret data, identify patterns, and draw actionable insights
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Interest in collecting, analyzing, and reporting to drive data-informed decisions
General Description of Internship Benefits
As a U.S. PACCAR intern, you have a full range of benefit options including:
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Competitive salary and 401k with up to a 5% company match
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Medical, dental, and vision plans for you and your family
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Paid holidays
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Flexible spending accounts (FSA) and health savings account (HSA)
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Life and accidental death and dismemberment insurance
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EAP services including wellness plans, estate planning, financial counseling and more
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Global Fortune 500 company with a wide array of growth, training, and development opportunities
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Work alongside experienced goal-oriented colleagues recognized as experts in their field
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This position may offer stipend assistance benefits
Additional Job Board Information
PACCAR is an E-Verify & Equal Opportunity Employer/Protected Veteran/Disability corporation. Peterbilt promotes Diversity and Inclusion through mentorship, events, and affinity support groups – The Diversity Council, Peterbilt Women’s Initiative (PBWIN), Veterans Group, Peterbilt Black Organization for Leadership and Development (B.O.L.D) and Peterbilt+ (An LGBTQ support group).
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How this job compares
Set against the 6,271 open Data Engineer jobs on Olive Jobs, counted November 5, 2026.
- Pay
- This postingNot listed
- Texas median$116–208K/yr312 salary ranges
- Texas median$65–75/hr22 hourly ranges
- Openings
- Olive Jobs lists 468 open Data Engineer jobs in Texas and 6,271 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- Data Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (5,484 postings).
- Education
- 2,406 of the 6,271 open Data Engineer jobs (38%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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