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Data Engineer Manager Jobs in Oak Brook, IL (NOW HIRING)

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... Experience with monitoring tools such as PrometheGrafana, Alert Manager, Alerta and OpsGenie

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... Experience with monitoring tools such as Prometheus/Grafana, Alert Manager, Alerta and OpsGenie

Data Engineer

Oak Brook, IL

$115K - $138K/yr

Document data engineering activities and processes. * Lead technical partner engagements. * Adhere ... Ability to manage technical partner engagements. Requirements Education & Certifications:

Data Engineer

Oak Brook, IL · On-site

$80K - $110K/yr

Document data engineering activities and processes. * Lead technical partner engagements. * Adhere ... Ability to manage technical partner engagements. Requirements Education & Certifications:

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... identity management, and secure data sharing mechanisms Support API-based integrations and ... experience in data engineering, data platforms, or related roles Hands-on experience with ...

Data Engineer

Romeoville, IL · On-site

$100 - $125/hr

Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high ... Works effectively with product managers to deliver trusted data Key Qualifications * Minimum of 5+ ...

Data Engineer

Romeoville, IL · On-site

$116K - $140K/yr

Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high ... Works effectively with product managers to deliver trusted data Key Qualifications * Minimum of 5+ ...

Data Engineer III

Chicago, IL · On-site

$117K - $141K/yr

McDonald's is hiring a Data Engineer III focused on Data Clean Room data ingestion, curation, and ... This group manages data supporting Paid Media measurement, audience activation, attribution, sales ...

Data Engineer

Chicago, IL · On-site

$200 - $250/hr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... Experience with monitoring tools such as Prometheus/Grafana, Alert Manager, Alerta and OpsGenie

Data Engineer

Chicago, IL · On-site

$100K - $115K/yr

Our Story Founded in 2008, Hightower is a wealth management firm that provides investment ... A Data Engineer builds or maintains data management systems, such as databases and data pipelines ...

Data Engineer

Chicago, IL · Hybrid

$100K - $115K/yr

Our Story Founded in 2008, Hightower is a wealth management firm that provides investment ... A Data Engineer builds or maintains data management systems, such as databases and data pipelines ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Data Engineer, you will design and build data foundations for analytics and AI, transforming ... Inspire11 is a service, digital, and management consulting firm dedicated to making an impact for ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Data Engineer role involves designing and building data foundations that power analytics and AI ... Inspire11 is a service, digital, and management consulting firm dedicated to making an impact for ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Data Engineer, you will design and build data foundations that power analytics and AI ... Inspire11 is a service, digital, and management consulting firm dedicated to making an impact for ...

GCP Data Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... data is discovered, governed, managed, and leveraged to drive business value. This is an ...

GCP Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... data is discovered, governed, managed, and leveraged to drive business value. This is an ...

Actuarial Data Support: Collaborate with the actuarial team to provide solutions for pricing ... engineering, data analysis or a similar role Proven experience in managing technical team and ...

Showing results 21-40

Data Engineer Manager information

See Oak Brook, IL salary details

$44.9K

$130.9K

$179.1K

How much do data engineer manager jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data engineer manager in Oak Brook, IL is $130,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $138,800.00 per year, depending on experience, location, and employer.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What are the key skills and qualifications needed to thrive as a data engineer manager?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

How much does a data engineer manager make?

A data engineer manager typically earns between $110,000 and $160,000 annually, depending on experience, location, and company size. They often oversee data teams, manage data pipelines, and require strong skills in SQL, cloud platforms, and leadership. Salaries can vary based on industry demand and certifications held.

What are the most commonly searched types of Data Engineer jobs in Oak Brook, IL?

The most popular types of Data Engineer jobs in Oak Brook, IL are:

What are popular job titles related to Data Engineer Manager jobs in Oak Brook, IL?

For Data Engineer Manager jobs in Oak Brook, IL, the most frequently searched job titles are:

What job categories do people searching Data Engineer Manager jobs in Oak Brook, IL look for?

The top searched job categories for Data Engineer Manager jobs in Oak Brook, IL are:

What cities near Oak Brook, IL are hiring for Data Engineer Manager jobs?

Cities near Oak Brook, IL with the most Data Engineer Manager job openings:

Data Engineer

IMC

Chicago, IL • On-site

$175K - $225K/yr

Other

PTO

Re-posted 15 days ago


Job description

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal candidate is energized by working in a cutting-edge environment that enables IMC to continue to be at the forefront of the evolving global financial markets.
Core Responsibilities
  • Architect, develop and deploy our Big Data environment (Kafka, Hadoop, Dremio, etc.)
  • Build, deploy, and monitor our data processing pipelines (Java, Python, Spark, Flink)
  • Collaborate with development teams on data modeling, data ingestion, and capacity planning
  • Work with users to ensure data integrity and availability
  • Act as a Big Data SME and consult on a variety of data-related questions from users and developers

Skills and Experience:
  • 5+ years experience working in a mature data engineering environment
  • 3+ years of experience building Kafka streaming applications and/or maintaining Kafka clusters
  • 2+ years of experience building applications/pipelines with Big Data backends (S3, HDFS, Databricks, Iceberg, etc)
  • Experience with Apache Spark, Apache Flink or similar tools
  • Strong Java, Python, and SQL development skills
  • Experience with common data-science toolkits, especially python-based
  • Hands-on experience with Kubernetes and Docker
  • Experience with monitoring tools such as PrometheGrafana, Alert Manager, Alerta and OpsGenie
  • Strong statistical analysis skills
  • Demonstrated ability to troubleshoot and conduct root-cause analysis
  • Unix scripting experience (bash, python, etc.)

#LI-DNP
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
Salary Range
$175,000-$225,000 USD
About Us
IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.