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Data Engineer II

Job in Neenah, Winnebago County, Wisconsin, 54956, USA
Listing for: Plexus Malaysia Sdn Bhd
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 85100 USD Yearly USD 85100.00 YEAR
Job Description & How to Apply Below
Data Engineer II page is loaded## Data Engineer II locations:
Neenah, WItime type:
Full time posted on:
Posted Todayjob requisition :
R036062

At Plexus, our vision is to help create the products that build a better world.  Driven by a passion for excellence, we partner with leading Aerospace/Defense, Healthcare/Life Sciences and Industrial companies to design, manufacture and service some of the world’s most transformative products, including advanced surgical systems, diagnostic instruments, healthcare imaging equipment, mission critical aerospace systems, and electric vehicle (EV) charging solutions.

Visit  to learn more about our unwavering commitment to our vision.
** When we invest in our people, we invest in building a better world.
** With a vision rooted in the wellbeing and inclusive engagement of our team members, our customers, their end users and our communities, people are the heart of what we do and who we are. It is our values that unite us and guide us in everything that we do, including how we operate, behave and interact to foster a workplace where every team member feels valued and empowered to contribute their best.

Our values include:
Growing our People, Building Belonging, Innovating Responsibly, Delivering Excellence and Creating Customer Success.

As a team member, you will engage in impactful work through global collaboration and the use of emerging technologies, join an inclusive culture where every team member is valued and working toward a greater purpose, and be empowered to reach your full potential through various development programs designed to accelerate your growth.

Plexus offers a comprehensive benefits package designed to support team members' wellbeing, including medical, dental, and vision insurance, paid time off, retirement savings, and opportunities for professional development. We also prioritize work-life balance and offer a variety of perks to enhance the team member experience.  For more information, visit our US benefits website at .

Our commitment to pay range transparency fosters an equitable workplace, where everyone can feel valued. The annual compensation range for this position is stated below. The salary offered within this range will be based upon the geographic location, work experience, education, licensure requirements and/or skill level. Salary Range:$85,100.00 - $
**** Purpose Statement:
**** The Data Engineer II designs, builds, and maintains robust and scalable data pipelines and infrastructure to support the organization's data needs, particularly related to cloud-based technologies. This includes acquiring, transforming, and optimizing large datasets to ensure high-quality, reliable, and accessible data for analytics, reporting, machine learning and AI initiatives.
**** Key Job Accountabilities:
***** Lead Data Pipeline and Infrastructure Development:
Design, develop, and optimize end-to-end ETL/ELT pipelines(on-premises and cloud)  using Python, SQL, Spark, etc. to ingest data into scalable cloud infrastructure, including Data Lakes and Data Warehouses (AWS, Azure, or GCP).
* Collaborate on data modeling and schema design:
Collaborate with stakeholders to design and implement efficient data models and schema structures. Enforce data quality through robust validation, monitoring, and alerting mechanisms to ensure accuracy and reliability.
* Optimize Performance, Cost, and Scalability:
Proactively evaluate, tune, and improve the performance, scalability, and cost-efficiency of all data pipelines and underlying cloud infrastructure.
* Enforce Best Practices and Documentation:
Champion and enforce modern data engineering best practices, including version control, automated testing, and CI/CD. Create and maintain comprehensive technical documentation for all data systems and operational procedures.
* Mentorship:
Provide technical guidance, mentorship, and perform code reviews for junior team members, actively fostering a culture of continuous learning and high standards within the data engineering team.
* All GT team members are responsible for upholding the organization's cybersecurity posture by adhering to security policies and procedures, actively…
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