Job description

Do you have a bias for action? Do you like to implement technology solutions and solve complicated problems that have material impact on organizations? Would you like to drive Digital Transformation across commercial products and services with the largest company in the world dedicated to Industrial Automation? If your answer is yes, then Rockwell Automation wants you to join its Information Technology organization and help shape the future of our company.

The Data Engineer, Finance will design, develop, and deliver reliable, scalable data management solutions (acquisition, integration, transformation) using DevOps methodologies and Microsoft Azure PaaS platforms. Design and enable Finance Analytics solutions and services. This role is Finance Capability Team’s competitive advantage to delivering business outcomes via actionable analytics, decision intelligence and help our businesses recognize value and here to shape how we deliver analytics solutions going forward.

What you will do:

  • Designs, codes, and tests new data management solutions, including supporting applications and interfaces.
  • The Analytics Engineer is multi-skilled engineer who helps to estimate work, accept user stories into delivery increments and complete tasks to deliver the work.
  • Design and build data structures to provision and enable Financial Analytics solutions.
  • Works with DA&I and other capability teams to support cross-functional development activity in various DA&I and Connected Enterprise related projects, for internal and external customers
  • Proactively monitors industry trends and identifies opportunities to implement new technologies
  • Manages the DevOps pipeline deployment model
  • Implements software in all environments
  • Leverages containerization models and works with other engineers and architects to keep the architecture current
  • Assists in the support and enhancement of applications
  • Writes high-quality code compliant with development guidelines and regulations
  • Collaborates with business systems analysts and product owners to define requirements
  • This position can be performed from any remote US location
  • The base salary compensation range for this role in Colorado is $108,080-$135,100 USD Annual with an annual target bonus of 8% of base salary.
  • This position is part of a job family. Experience will be the determining factor.

Basic Qualifications:

  • Bachelor’s Degree in computer science, software engineering, management information systems, or related field

Preferred Qualifications:

  • 3 to 5 years of experience in a data engineer role or equivalent
  • 1 to 3 years of experience supporting Finance operations team
  • Has expertise in data management technologies such as: Azure Data Factory, ADLS G2, Azure Databricks, Azure SQL DW, Azure AAS, Tabular models or SAP Data Services
  • Proficiency in programming languages such as Python, PySpark, Spark SQL, Scala, SQL, open-source data management tools or equivalent
  • Proficiency in Data modelling, Azure Analysis Services, Azure SQL DW, Power BI, Databricks, Open-source analytics tools or equivalent
  • Experience in systems development lifecycle
  • Experience in Data management concepts and implementations
  • Experience with Agile development methodologies and system/process documentation
  • Experience with server-side architectures and containerization
  • Proficiency in using notebooks with multi-programming language components
  • Working knowledge of multi-dimensional modeling with Fact and Dimension tables
  • High level understanding of SAP extractors and tables and their usage is desirable
  • Working knowledge of Scala and Microsoft Synapse Analytics are added advantages
  • Familiarity with business concepts and impact of data on business processes
  • Experience managing multiple projects simultaneously
  • Excellent interpersonal, verbal and written communication skills
  • Ability to adapt quickly to new technologies and changing business requirements
  • Solid problem-solving skills, attention to detail, and critical thinking abilities
  • Strong analytical skills: ability to distill information from disparate data sources and the capability to tell the “story” behind it, as well as recommendations for next steps


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 (844) 404-7247.

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