Cloud Data Developer

WEC Energy Group•Milwaukee, WI

106d•$78,702 - $135,761•Hybrid

About The Position

WEC Business Services LLC, a subsidiary of WEC Energy Group, is hiring a Cloud Data Developer in Milwaukee, Wisconsin, or Chicago, Illinois. The position currently offers a hybrid arrangement, with regular time spent in the office. It is part of the IT Applications Analyst and Senior IT Applications Analyst job family; experience determines the applicable level. For current employees in this job family, this would be a lateral move. The developer will build and maintain AWS data pipelines, design data lake and warehouse architecture, support self-service analytics through collaboration and dataset modeling, and help ensure cloud solutions follow security, cost optimization, and infrastructure-as-code best practices. The role also provides ongoing operational support for the analytics ecosystem. The minimum qualification is a bachelor's degree in a listed computing, information, data, or engineering field; other bachelor's degrees may be considered based on related IT experience. Successful completion of a certified Application Development Apprenticeship may substitute for a bachelor's degree. Applicants need two years of IT experience. AWS development and related technical experience are preferred. The posted pay range is $78,702.26 to $135,761.08. The position is eligible for an employee referral bonus. The application end date is October 28, 2026.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Information Technology, Computer Information Systems, MIS, Data Science, Information Science, or Engineering; other bachelor's degrees may be considered based on related IT experience.
Successful completion of a certified Application Development Apprenticeship may be considered in lieu of a bachelor's degree.
Two years of IT experience.

Nice To Haves

Two or more years of AWS development experience.
Experience with AWS technologies such as EC2, Lambda, EMR, and Redshift.
Apache Spark framework experience and an understanding of distributed systems and storage.
Strong understanding of RDBMS systems, SQL querying techniques, and data modeling principles.
Azure, Power BI, and Fabric experience.
Production support experience with large enterprise applications.

Responsibilities

Develop, build, and maintain scalable data pipelines using AWS services.
Design and optimize data lake and data warehouse architecture.
Collaborate with data analysts, business stakeholders, and other team members to model datasets and enable self-service analytics.
Enforce best practices in cloud security, cost optimization, and infrastructure as code for cloud solutions.
Provide continuous operational support for the analytics ecosystem through proactive monitoring, issue resolution, and ongoing enhancements.