Data Engineer

Glocomms; Waukegan (IL); On-site; USD 96,000 - 148,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) with employer match

Paid time off

Tuition reimbursement

Wellness programs

Job summary

Glocomms in the Greater Chicago Area is seeking a Senior Data Engineer to design and scale data platforms, focusing on data warehouse modernization, scalable pipelines, and BI capabilities to support analytics and business growth. This on-site role requires collaboration across teams and a strong data engineering background.

You will mentor engineers, drive data strategy, and ensure data quality while delivering reliable data solutions that empower decision-making across the organization.

Qualifications

• Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field.
• 8+ years of data engineering experience.
• 5+ years building enterprise ETL and data integration using Informatica, SSIS, Databricks, or similar technologies.
• Strong SQL development with complex query optimization and performance tuning.
• Experience building and supporting large-scale data warehouse environments.
• Experience with cloud-based data platforms and modern analytics technologies is highly preferred.

Responsibilities

• Design and deliver enterprise-scale data warehouse and BI solutions.
• Support data modernization initiatives leveraging cloud platforms, modern data architectures, and automation technologies.
• Build and maintain scalable data pipelines that enable advanced analytics, reporting, and decision-making.
• Collaborate with stakeholders, engineers, and analysts to develop, test, and deploy data solutions.
• Ensure data quality and reliability through code reviews, testing processes, and engineering best practices.
• Provide technical leadership and mentoring to other data engineers.
• Troubleshoot data issues and optimize performance across data platforms and applications.

Skills

Data engineering

ETL development

SQL performance tuning

Mentoring

Cloud data platforms

Education

Bachelor's degree in Information Technology/Computer Science/Engineering

Tools

Informatica

SSIS

Databricks

Job description

Location: Greater Chicago Area (On-site)
Compensation: $96,000 - $148,000 Base Salary + Bonus Opportunities

About the Role

Senior Data Engineer

Location: Greater Chicago Area (On-site)
Compensation: $96,000 - $148,000 Base Salary + Bonus Opportunities

A well-established and growing North American organization is seeking a Senior Data Engineer to help modernize and scale enterprise data platforms. This role will focus on designing and implementing data warehouse solutions, building scalable data pipelines, and supporting business intelligence and analytics initiatives that drive operational efficiency and business growth.

The ideal candidate will combine strong technical expertise in data engineering and ETL development with the ability to mentor team members, influence data strategy, and collaborate across business and technology teams.

Key Responsibilities

• Design and deliver enterprise-scale data warehouse and business intelligence solutions.
• Support data modernization initiatives leveraging cloud platforms, modern data architectures, and automation technologies.
• Build and maintain scalable data pipelines that enable advanced analytics, reporting, and decision-making.
• Collaborate with stakeholders, engineers, and analysts to develop, test, and deploy data solutions.
• Ensure data quality and reliability through code reviews, testing processes, and engineering best practices.
• Provide technical leadership and mentoring to other data engineers.
• Troubleshoot data issues and optimize performance across data platforms and applications.

Qualifications

• Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field.
• 8+ years of data engineering experience.
• 5+ years of experience developing enterprise ETL and data integration solutions using platforms such as Informatica, SSIS, Databricks, or similar technologies.
• Strong SQL development experience, including complex query optimization and database performance tuning.
• Experience building and supporting large-scale data warehouse environments.
• Strong troubleshooting and problem-solving skills.
• Experience working with cloud-based data platforms and modern analytics technologies is highly preferred.

Compensation & Benefits

• Base salary: $96,000 - $148,000
• Multiple bonus opportunities
• Comprehensive health, dental, and vision insurance
• 401(k) with employer match
• Generous paid time off and company holidays
• Tuition reimbursement and professional development support
• Additional wellness and employee-focused benefits

Preferred Profile

• Experience leading or mentoring other data engineers.
• Background in enterprise-scale analytics, business intelligence, or data warehouse modernization initiatives.
• Comfortable working in a collaborative, fast-paced environment supporting a variety of business functions across a large organization.