Data Engineering (Supply Chain AI) Co-Op
Data Engineering (Supply Chain AI) Co-Op
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Job Description
In this role you will have the opportunity to:
- Collaborate with data scientists and engineers to design build and optimize data pipelines.
- Work with large-scale datasets from supply chain operations logistics and planning systems.
- Support the development of data models and infrastructure for machine learning workflows.
- Help automate data ingestion transformation and validation processes.
- Contribute to real-world AI solutions that drive measurable impact across global supply chains.
The essential requirements of the job include:
- Currently pursuing a degree in Computer Science Data Engineering or a related field.
- Strong interest in AI data systems and supply chain technologies.
- Experience with Python SQL and cloud platforms (e.g. SnowflakeAzure AWS) is a plus.
- Curiosity collaboration and a drive to learn and build.
The hourly range for this role is $30-35.00 . This is the rate that we in good faith believe is the rate of compensation for this role at the time of this posting.
At Danaher we believe in designing a better more sustainable workforce. We recognize the benefits of flexible remote working arrangements for eligible roles and are committed to providing enriching careers no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Danaher can provide.
This job is not eligible for bonus/incentive pay.
Join our winning team today. Together well accelerate the real-life impact of tomorrows science and technology. We partner with customers across the globe to help them solve their most complex challenges architecting solutions that bring the power of science to life.
For more information visit .
Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race color national origin religion sex age marital status disability veteran status sexual orientation gender identity or other characteristics protected by law.
The U.S. EEO posters are available here.
We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process to perform essential job functions and/or to receive other benefits and privileges of employment please contact:1- or .
Employment Type
Full-Time
