Utility Energy Services

Business Intelligence Engineer

LocationChicago, IL
Job Typefull_time
Salary$70,000-$80,000

About This Job


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 Business Intelligence Engineer to join our growing Technology Solutions team. This is a hybrid role that combines data engineering, business intelligence, and solution architecture. We’re looking for someone who enjoys building technical systems and translating business needs into scalable, impactful data tools.

As a key member of our team, you will design, build, and maintain cloud-based infrastructure using Microsoft Azure, support automation through Power Platform tools, and contribute to end-to-end data solution development. The ideal candidate has strong skills in SQL and Python, understands database engineering, and thrives on turning complex problems into well-structured solutions that support business performance and insight.

This role is both technical and strategic. You’ll write code, manage and optimize databases, and also collaborate with stakeholders to shape solution design, improve workflows, and enhance how data is used across the organization.


Key Responsibilities

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
Collaborate with business users, analysts, and developers to gather requirements and design effective technical solutions
Validate data accuracy, document pipeline architecture, and contribute to long-term platform scalability


Qualifications & Experience

Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Analytics, or a related field
3+ years of experience in a technical data role such as BI Engineer, Data Engineer, or Data Systems Analyst
Strong proficiency in SQL for querying, data modeling, and database management
roficiency in Python (or similar scripting language) for automation, data transformation, and workflow management
Hands-on experience with Azure cloud services such as Azure SQL, Data Factory, Data Lake, or Synapse Analytics
Familiarity with ETL/ELT pipelines, API integrations, and real-time or batch data ingestion
Strong analytical and problem-solving skills, with the ability to translate business needs into scalable data solutions
Excellent communication and collaboration skills, including the ability to work cross-functionally and explain technical concepts to non-technical audiences
A growth mindset with a passion for clean, maintainable systems and continuous improvement


Job Type: Full-time


Pay: $70,000.00 - $80,000.00 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 60607

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