College Intern - IT (Data Engineer)

Stevens Transport•Dallas, TX

2d•Onsite

About The Position

The Data Engineer – Summer Intern supports data pipeline development, data organization, and analytics platform enablement initiatives within the organization. This role focuses on assisting with data ingestion, transformation, validation, and documentation under the guidance of experienced data engineers and analysts. The internship is designed to provide hands‑on exposure to modern data engineering practices, including structured data workflows, SQL development, and analytics platform support. The role emphasizes learning, execution, and contribution to defined technical tasks, rather than independent system ownership or production accountability.

Requirements

Demonstrated foundational knowledge in data engineering, analytics, computer science, information systems, statistics, mathematics, engineering, or related technical disciplines through education, training, or practical experience
Exposure to data concepts such as datasets, tables, schemas, and basic transformations
Basic proficiency with Microsoft Excel and an interest in learning SQL and data engineering tools
Strong attention to detail with an interest in data quality and reliability
Willingness to learn, accept feedback, and work within established technical standards
Clear written and verbal communication skills suitable for an early‑career or developmental role
Ability to commit to a full‑time schedule during the defined internship period

Nice To Haves

Exposure through coursework, training, certifications, or projects to SQL, Python, Microsoft Fabric, Azure, Power BI, or similar platforms
Experience with academic, professional, or personal projects involving data pipelines, ETL processes, or data transformations
Familiarity with basic programming or scripting concepts
Interest in pursuing a career path in data engineering, analytics engineering, or platform development
Microsoft 365 (Excel, Word, Teams, Outlook)
Basic understanding of structured data and data workflows
Introductory SQL skills or equivalent exposure
Proficiency with Excel (formulas, sorting, filtering, basic analysis)
Interest in data pipelines, data platforms, and analytics infrastructure
Familiarity with reporting or analytics tools is a plus
Analytical thinking and structured problem‑solving skills
Attention to detail and commitment to data accuracy
Ability to learn new tools and technologies efficiently
Strong written and verbal communication skills

Responsibilities

Assist with building, maintaining, and supporting data pipelines that move data from source systems to analytics platforms
Support data ingestion, cleansing, and transformation activities under guidance
Help validate data accuracy, completeness, and consistency across datasets
Gain exposure to structured data workflows, including raw, validated, and business‑ready datasets
Assist in organizing and documenting datasets as they progress through defined data layers
Support basic data transformations aligned with established data modeling and engineering standards
Write and modify SQL queries to support data transformations, validations, and analytical use cases under supervision
Learn and apply foundational SQL concepts such as joins, aggregations, and common table expressions
Assist with documentation of transformation logic and data definitions
Support routine monitoring of data pipelines and flag issues for review
Assist with logging, error identification, and documentation of pipeline behavior
Gain exposure to version control and deployment concepts as applicable to data workflows
Partner with Data Analysts, BI developers, and IT teams to support data needs
Document data pipelines, transformation logic, and technical workflows
Participate in meetings, training sessions, and project reviews to build technical and professional skills