Data Platform Engineer Co-op - Fall 2026
- Applicants must be currently enrolled in a bachelor's or master's degree program. Applicants must be currently authorized to work in the United States on a full-time basis and be available from July 13, 2026 through December 4, 2026. We have a hybrid work environment that requires a minimum of three days a week in the office. Please submit your resume including your cumulative GPA. Transcripts may be requested at a future date.**
- Approximate 6-month Co-op session with competitive pay
- Impactful project work to develop your skills/knowledge
- Career assistance & mentoring in obtaining full time positions within ADUSA
- Leadership speaker sessions and development activities
- One-on-one mentoring in your area of interest
- Involvement in group community service events
- Networking and professional engagement opportunities
- Access to online career development tools and resources
- Opportunity to present project work to company leaders and gain executive visibility
- Must be enrolled in a BS/BA, MS, or PhD program or a recent graduate in related field
- Genuine excitement and passion for analyzing complex datasets and converting them into the information/insights that drive business decisions at all levels of the organization
- Basic understanding of fundamentals in computer science and programming
- Possess an understanding of business intelligence solutions utilizing advanced excel skills, BI tools in a data warehouse or data mart environment
- Excellent communication skills
- Must be able to adapt quickly to change without being afraid to take on new responsibilities in a fast-paced team environment while being proactive and action-oriented
- Experience writing, analyzing, and troubleshooting SQL code in relational database management systems
- Experience with any one of the programming languages Java, Scala, and Python
- Exposure to ETL/ELT, Data warehouse and dimensional modeling concepts
- Ability to propose analytical strategies and solutions as a business need
- Exposure to big data technologies
- Manipulating high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships, and trends
- Ability to work on data pipelines
- Excellent diagnostic, debugging, and troubleshooting skills
- Computer programming
- Data Management
- Data Analysis
- Data/Software Engineering
- Teamwork
- Good Communication
- Technical Writing
- Gen AI + MLOps
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