Engineering Specialist - Data Monitoring and Analytics
Listed on 2026-01-01
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Engineering
Data Engineer
Engineering Specialist - Data Monitoring and Analytics
We Energies and Wisconsin Public Service, subsidiaries of WEC Energy Group, is seeking an Engineering Specialist focused on data monitoring, diagnostics, and analytics for our Renewables Operations and Maintenance Engineering Team. This position can be located in Green Bay, Wisconsin, Milwaukee, Wisconsin or within a reasonable drive to any of our WEC Energy Group renewables locations in WI, IL, IA, SD, NE, and KS.
This position currently offers flexibility for a hybrid work arrangement (remote/on-site) with time spent in the office. This position is part of a job family (Associate Engineering Specialist, Engineering Specialist, Senior Engineering Specialist, and Principal Engineering Specialist) where experience will be the determining factor.
About Us
WEC Energy Group is one of the nation’s largest electric generation and distribution and natural gas delivery holding companies serving 4.7 million customers across the Midwest. We are committed to providing clean, reliable, and affordable energy in an environmentally sustainable manner. Customers are the heart of our business, and we work every day to help grow and support communities where we provide vital energy services.
As a Fortune 500 company, we value and develop our employees who are making a difference in a mission that matters. We don’t just offer a job; we provide fulfilling careers where safety and well-being are paramount. Join our team and experience first-hand our commitment to your success. We offer competitive pay and benefits to recognize your hard work and dedication.
If you’re talented, energetic and ready for a career with a future, we want you on our team. We are powered by a diverse and inclusive workforce fueled by the pride in what we do. If you're driven by the passion to change lives, this is the place for you.
Job SummaryThis Engineering Specialist provides technical support to a large operating fleet of renewable energy projects by designing, deploying, and maintaining critical data architecture and pipelines which support the business and analytics needs of the Power Generation Renewables team.
Job Responsibilities- Develop architecture & maintain databases of critical equipment metadata.
- Manage data flows and data pipelines that feed real-time predictive models and other data tools.
- Work closely with Renewables team, business & data analysts, and IT support groups to solve data access, architecture, and process needs.
- Use available data to review the performance and reliability of wind / solar / battery storage assets.
- Collaborate with Renewables team to design and deploy analytics and KPI reporting at a fleet level.
- Perform ad hoc investigations of emergent equipment issues.
- Manage the ETL process for transforming operational SCADA data into aggregated data repositories.
- Empower subject matter experts with user friendly access to raw and aggregated data.
- Bachelor’s degree in Engineering, Project Management, or related technical discipline. In lieu of Bachelor’s degree, an Associate’s degree in Engineering, Project Management, or related technical discipline with three years of engineering/project management experience will be accepted.
- SQL (T-SQL, MySQL, Athena), VBA, API, and Python/R experience
- Cloud-based data infrastructure experience
- Power BI, AWS and related services experience
- Dev Ops and Git Hub experience
- Renewable energy technology, especially wind, solar, and energy storage experience
- Familiarity with data visualization / business intelligence tools
- Strong initiative, collaborative, prioritization, and time management skills
- Critical thinking skills with the ability to identify and solve complex problems
End Date:01/21/2026
Pay Range Minimum
: $66,898.00
Pay Range Maximum
: $
The pay range reflects the minimum and maximum for the position at the time of posting and may be modified in the future. The starting salary/pay within the pay range will be based on several factors, as applicable, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, shift, travel requirements,…
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