data engineer for industrial automation

Rockwell Automation is a global technology leader that helps manufacturers improve productivity, sustainability, and agility.

• Design and maintain scalable data pipelines integrating information from ERP, CRM, service management, financial, operational, and other enterprise systems
• Build data models, data warehouses, data marts, and semantic layers to support reporting requirements
• Develop ELT/ETL processes for reliable and efficient data movement across platforms
• Support cloud-based and enterprise data architectures, focusing on scalability, performance, and maintainability
• Provide trusted datasets for Power BI dashboards, operational reports, and self-service analytics
• Collaborate with BI developers and analysts to translate reporting requirements into data solutions
• Improve data availability, refresh performance, and reliability across business intelligence platforms
• Support the development of KPI definitions and standardized business metrics
• Establish and maintain processes that improve data quality, consistency, integrity, and completeness
• Partner with functional leaders to define data standards, ownership, and governance procedures
• Implement monitoring, validation, and automated quality controls
• Support compliance with enterprise data management, privacy, cybersecurity, and governance requirements
• Develop scalable, governed data foundations for predictive analytics, automation, AI/Copilot solutions, and advanced analytics
• Partner with IT, automation, and AI teams to ensure data readiness and improve analytics infrastructure and data engineering practices

• 4+ Years of experience in data engineering, data architecture, and enterprise analytics environments
• Experience with SQL and relational database design
• Experience building and maintaining ETL/ELT pipelines
• Experience with Azure Data Platform technologies, including Azure Data Factory, Azure Synapse, Azure Databricks, Microsoft Fabric, Dataverse, and Azure SQL
• Experience supporting Power BI, tabular models, and semantic data layers
• Understanding of API integrations, enterprise applications, and data interoperability patterns
• Familiarity with modern DevOps practices, version control, and automated deployment methods
• Будет плюсом: experience supporting services, manufacturing, industrial automation, engineering, or technology organizations; familiarity with ERP, CRM, service management, and financial systems; experience with AI, advanced analytics, or automation platforms; knowledge of Agile delivery methodologies and product-based delivery models

• Volunteer paid time off is available after 6 months of employment for eligible employees
• Volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation
• On-demand digital course library for professional development
• Premium membership to Calm and personalized wellbeing programs through the OnTrack program
• Employee Assistance Program and other local benefits
• 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