Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.
We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that's you we would love to have you join us!
Job Description
Position Summary:As a Data Engineer -Enterprise Common Data Model/Common Data Layer, you will design, develop, and deliver scalable data management solutions that power Rockwell Automation's Enterprise. You will report to the Technical Leader for our Common Data Model / Common Data Layer team. You will collaborate with technical leads, analysts, architects, and product owners to shape the future of data-driven innovation across the enterprise.
Your Responsibilities:- Design, code, and test new data management solutions, including data acquisition, integration, and transformation pipelines using Microsoft Azure PaaS tools and DevOps methodologies.
- Architect data structures and pipelines to enable "Data as a Service" across business units, ensuring scalability, reliability, and performance.
- Develop and test infrastructure components in cloud and edge environments, leveraging tools like Azure ADF, ADLS, Databricks, and SAP Data Services.
- Manage DevOps pipelines for continuous integration and deployment, and implement containerization models to support scalable deployments.
- Collaborate with analysts, product owners, and business stakeholders to define requirements, write high-quality code, and support application enhancements.
The Essentials - You Will Have:- Bachelor's Degree or equivalent years of relevant work experience.
The Preferred - You Might Also Have:- Typically requires 8+ years of relevant experience in data of software engineering.
- Experience in the full systems development lifecycle and Agile methodologies.
- Proficiency in data management technologies such as Azure ADF, ADLS, SQL, Databricks, SAP Data Services, and tabular models.
- Strong understanding of server-side architectures, containerization, and DevOps practices.
- Ability to manage multiple projects simultaneously and adapt quickly to new technologies and business needs.
- Familiarity with open-source data management tools and domain-specific programming languages.
- Experience working with business stakeholders to translate data into actionable insights.
- Experience distilling complex data into clear narratives and recommendations.
- Exposure to enterprise architecture and cross-functional collaboration in a global environment.
What We Offer:- Health Insurance including Medical, Dental, Life and Vision
- 401k
- Paid Time off
- Parental and Caregiver Leave
- Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life.
- To learn more about our benefits package, please visit at ;/li>
This position is part of a job family. Experience will be the determining factor for position level and compensation.
At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles.
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We are an Equal Opportunity Employer including disability and veterans.
If you are an individual with a disability and you need assistance or a reasonable accommodation during the application process, please contact our services team at +1 .
Rockwell Automation's hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.
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