Data Engineer
Location: Greater Chicago Area (On-site)
Compensation: $96,000 - $148,000 Base Salary + Bonus Opportunities
About the Role
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.
FAQs
Congratulations, we understand that taking the time to apply is a big step. When you apply, your details go directly to the consultant who is sourcing talent. Due to demand, we may not get back to all applicants that have applied. However, we always keep your resume and details on file so when we see similar roles or see skillsets that drive growth in organizations, we will always reach out to discuss opportunities.
Yes. Even if this role isn’t a perfect match, applying allows us to understand your expertise and ambitions, ensuring you're on our radar for the right opportunity when it arises.
We also work in several ways, firstly we advertise our roles available on our site, however, often due to confidentiality we may not post all. We also work with clients who are more focused on skills and understanding what is required to future-proof their business.
That's why we recommend registering your resume so you can be considered for roles that have yet to be created.
Yes, we help with resume and interview preparation. From customized support on how to optimize your resume to interview preparation and compensation negotiations, we advocate for you throughout your next career move.