Data Engineer II

About us: 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 worlds 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:

Purpose Statement: The Data Engineer II designs builds and maintains robust and scalable data pipelines and infrastructure to support the organizations 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 organizations cybersecurity posture by adhering to security policies and procedures actively participating in training protecting data and systems actively identifying and mitigating vulnerabilities and promptly reporting any suspicious activity or potential security incidents.

Education/Experience Qualifications:

• Typically requires a minimum of 5 years of related experience with a Bachelors degree; or 3 years and a Masters degree; or equivalent work experience.

Other Qualifications:

• Proven experience with cloud data platforms (e.g. AWS S3 Redshift Glue; Azure Data Lake Synapse Data Factory; Google Cloud Storage BigQuery Dataflow).
• Strong proficiency in SQL and at least one programming language (e.g. Python Java Scala) for data manipulation scripting.
• Experience with big data technologies (e.g. Spark Hadoop) is a plus.
• Familiarity with data governance data security and compliance principles.
• Excellent problem-solving analytical and communications skills.

This document does not represent a contract of employment and is not intended to capture every possible assignment the incumbent could be asked to perform.

We are pleased to provide reasonable accommodations to individuals with disabilities or special requirements. If you need an application accommodation please contact us by email at . Please include your contact information and clearly describe how we can help you. This email is for accommodation requests only and cannot be used to inquire about the status of applications.

We are an Equal Opportunity Employer (EOE) and do not discriminate based on race religion color national origin gender sexual orientation age marital status veteran status or disability status.

Some offers of employment are contingent upon successfully passing a drug screen and/or background check.