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# Cloud Data Developer

- **Company:** WEC Energy Group
- **Location:** Milwaukee, WI, United States
- **Experience:** Experienced
- **Salary:** $78,702.0 - $135,761.0
- **Contract:** Temporary contract
- **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Microsoft Azure, Cloud Computing Security, Cloud Database, Computer Engineering, Data Warehousing, Relational Databases, Database Queries, Distributed Systems, Information Sciences, Power BI, Cloud Services, Software Engineering, Enterprise Software Applications, Apache Spark, Data Lakes, Infrastructure Automation Frameworks, Information Technology, Performance Monitor, Data Pipelines
- **Published:** October 16, 2026
- **Apply:** https://careers.wecenergygroup.com/talentcommunity/apply/1405421800/?locale=en_US

## About the Role

* Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Technology, Computer Information Systems, MIS, Data Science, Information Science, Engineering is required. Other bachelor's degrees will be considered based on related IT experience. Successful completion of a certified Application Development Apprenticeship will also be considered in lieu of a bachelor's degree.
 * 2 years of IT experience, * 2+ years of AWS development experience
 * AWS technology experience 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

## Description

* Develop, build and maintain scalable data pipelines using AWS services
 * Design and optimize data lake and data warehouse architecture
 * Collaborate closely 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