
Global Operations Supplier Process Engineer Co-Op
TX, TXFull-time$21.8–37.42/hrSeen 3 days agoSeen in employer's feed 3 days ago
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Job overview
Dell Technologies is seeking an Engineering Co-op for its Global Supplier Quality Engineering team and Data Science program. The role supports hardware quality initiatives through data analytics, dashboards, data flows, and visualizations, while collaborating with engineering teams to address data quality issues. Students pursuing a bachelor’s or master’s degree in Computer Science and/or Data Science are sought.
Skills & qualifications
Skills
Qualifications
Full job description
Global Operations Supplier Process Engineer Co-Op Opportunities – Franklin, MA
Join a world-class Global Operations supply chain where you can drive lasting change while building a long-term career
At Dell, our talented supply chain experts and benchmarked processes and capabilities are supporting the company’s transformation strategy. With in-house supply chain training and development programs that enable our team members to build their careers with us, we’ve built an environment where our team members feel inspired, connected and can succeed every day.
Our Global Supplier Quality Engineering team is seeking an Engineering Co-op for our Data Science program.
Principal Duties and Responsibilities
This role supports Dell’s Global Supplier Quality Engineering team by
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Developing data analytics tools and dashboards to monitor and improve hardware quality.
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Identify data quality issues, and collaborate with engineering teams to drive improvements
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Supporting roll out of Dell Native Edge solutions
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Using Node Red to develop data flows, along with JSON and Javascript.
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Leverage SQL to structure large real time data sets into tables and views.
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Develop data visualizations using Power BI and Grafana.
It’s a great opportunity to apply technical skills in a real-world setting and contribute to impactful quality initiatives.
Requirements
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Student working towards a Bachelors or Masters in Computer Science and/or Data Science
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Strong proficiency in engineering principles and software knowledge.
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Proficiency in data analysis and report writing tools.
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Strong communication skills and ability to work in a team environment.
Desirable Requirements
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Knowledge of data sets used in manufacturing environments.
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Experience with use of LLMs and Machine Learning technologies.
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Use of Confluence and JIRA platforms
Compensation
- Dell is committed to fair and equitable compensation practices. The rate for this role is $21.80-$24.20/per hour for Bachelors and $37.42/hr for Masters.
Who we are
We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.
Dell Technologies is a unique family of businesses that helps people and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here (https://jobs.dell.com/equal-employment-opportunity-policy) .
Job Identification 298595
Job Category Co-op/Intern
Job Schedule Full time
Locations 701 E. Parmer Lane, Austin, TX, 78753, US
Total Compensation Range USD 46495 - USD 60170
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