ABOUT UES

Utility Energy Services (UES) provides energy efficiency program implementation services to utilities across the U.S. We support the design, execution, and optimization of utility energy efficiency programs by leveraging data-driven insights and industry best practices.

POSITION OVERVIEW

UES is seeking a Data Solutions Engineer to join our growing Technology Solutions team. This is a role that blends data engineering, solution architecture, automation, and stakeholder collaboration. The ideal candidate will have a strong technical foundation and the ability to design, build, and scale data solutions that support both internal operations and client-facing programs.
This role is both hands-on and strategic. You will design and implement cloud-based infrastructure using Microsoft Azure, build automation workflows, collaborate across teams to translate business needs into technical solutions, and help shape the future of UES’s data systems.

QUALIFICATIONS & EXPERIENCE

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Analytics, or a related field
• 5+ years of experience in a technical data role such as Data Engineer, BI Engineer, or Solutions Analyst
• Proven experience with Azure data services including Azure SQL, Data Factory, Data Lake, and related tools
• Strong proficiency in SQL for querying, data modeling, and optimization
• Proficiency in Python for data automation, transformation, and workflow scripting
• Experience building Power BI dashboards or supporting reporting architecture
• Familiarity with API integrations and cross-platform data orchestration
• Strong communication and stakeholder collaboration skills, with experience translating business needs into technical solutions
• Ability to work independently, own solution delivery, and contribute to long-term data strategy
  Job Type: Full-time
  Pay: $100,000.00 - $110,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Compensation Package:

• Yearly pay

Schedule:

• 8 hour shift
• Monday to Friday

Application Question(s):

• Will you now or in the future require visa sponsorship for employment in the United States?

Ability to Commute:

• Chicago, IL 60607 (Required)

Ability to Relocate:

• Chicago, IL 60607: Relocate before starting work (Required)

Work Location: Hybrid remote in Chicago, IL 6060

• Design, build, and manage scalable Azure SQL Databases, Azure Data Lake Storage, and related cloud-based data infrastructure
• Implement secure data access protocols and cloud storage best practices
• Develop and maintain ETL/ELT pipelines using Azure Data Factory, Python, and SQL for both batch and real-time ingestion
• Monitor pipeline performance and implement error handling, alerting, and logging mechanisms
• Design and maintain data integration workflows with third-party APIs and internal platforms to enable seamless data exchange
• Create and maintain automation tools and scripts using Python, Power Automate, or similar technologies to streamline data operations
• Configure scheduled jobs, triggers, and task dependencies to ensure operational reliability
• Partner with business users, analysts, and developers to gather requirements and design effective technical solutions
• Translate business needs into actionable data models, automated workflows, and system designs using Azure services and Power Platform tools
• Validate data accuracy, document pipeline architecture, and contribute to long-term platform scalability