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Director Data Engineering Jobs in Chicago, IL (NOW HIRING)

The Hartford

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Partner with Actuarial, Data Engineering, and other modeling organization teams to connect modeling ...

Roadrunner

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

As a long-haul, metro-to-metro LTL carrier, Roadrunner offers more direct routes than any other ... This role focuses on backend data engineering using strong SQL skills, SQL Server Analysis Services ...

Roadrunner

Data Engineer

Downers Grove, IL

$114K - $137K/yr

As a long-haul, metro-to-metro LTL carrier, Roadrunner offers more direct routes than any other ... This role focuses on backend data engineering using strong SQL skills, SQL Server Analysis Services ...

Roadrunner

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

As a long-haul, metro-to-metro LTL carrier, Roadrunner offers more direct routes than any other ... This role focuses on backend data engineering using strong SQL skills, SQL Server Analysis Services ...

Roadrunner

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

As a long-haul, metro-to-metro LTL carrier, Roadrunner offers more direct routes than any other ... This role focuses on backend data engineering using strong SQL skills, SQL Server Analysis Services ...

Numerator

Director, Data Science

Chicago, IL · On-site

As Director of Data Science , you will lead the team responsible for Numerator's consumer panel ... You'll partner closely with Market Science, Engineering, Product, and GTM to turn that signal into ...

Rewards Network

Data Engineering Lead (Hybrid)

Chicago, IL · Hybrid

$105K - $139K/yr

Job Overview The Data Engineering Lead is responsible for driving the modern data engineering ... Clear, direct communicator who can translate technical tradeoffs for non-technical stakeholders

Geneva Trading

Data Engineering Manager

Chicago, IL · On-site

Integrating direct exchange feed capture alongside third-party vendor data * Building and improving ... Improving developer workflows around market data testing and troubleshooting * Reducing repeated ...

Rewards Network

Data Engineering Lead (Hybrid)

Chicago, IL · On-site +1

$105K - $139K/yr

Job Overview The Data Engineering Lead is responsible for driving the modern data engineering ... Clear, direct communicator who can translate technical tradeoffs for non-technical stakeholders

Ritchie Bros.

Senior Staff Software Engineer

Westchester, IL · On-site

$121K - $160K/yr

... Director Data Engineering. * Personally deliver complex, high-impact data engineering work on IAA's Azure data and analytics stack - ingestion, transformation, storage, semantic modeling, and data ...

Rewards Network

Data Engineering Lead (Hybrid)

Chicago, IL · Hybrid

$105K - $139K/yr

Job Overview The Data Engineering Lead is responsible for driving the modern data engineering ... Clear, direct communicator who can translate technical tradeoffs for non-technical stakeholders

Inmar

Director, Data Science (MarTech)

Chicago, IL · On-site

The Director, Data (MarTech) is responsible for applying data exploration and visualization ... Demonstrate superior collaboration with application engineering to build robust and secure ...

Numerator

Director, Data Science

Chicago, IL

As Director of Data Science , you will lead the team responsible for Numerator's consumer panel ... You'll partner closely with Market Science, Engineering, Product, and GTM to turn that signal into ...

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Showing results 21-40

All JobsData Engineering JobsDirector Data Engineering JobsDirector Data Engineering Jobs in Chicago, IL

Director Data Engineering information

See Chicago, IL salary details

$75.2K

$200.6K

$261.7K

How much do director data engineering jobs pay per year?

As of Aug 6, 2026, the average yearly pay for director data engineering in Chicago, IL is $200,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,800.00 and $260,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a director of data engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

What does a director of data engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

What are the key skills and qualifications needed to thrive as a director of data engineering?

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

What are the most commonly searched types of Data Engineering jobs in Chicago, IL? The most popular types of Data Engineering jobs in Chicago, IL are:
What are popular job titles related to Director Data Engineering jobs in Chicago, IL? For Director Data Engineering jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Director Data Engineering jobs in Chicago, IL look for? The top searched job categories for Director Data Engineering jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Director Data Engineering jobs? Cities near Chicago, IL with the most Director Data Engineering job openings:
Director Data Engineering jobs near you
Infographic showing various Director Data Engineering job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $200,579 per year, or $96.4 per hour.

Director of Data Engineering & Data Science - IAA

The Job Sauce

Chicago, IL • On-site

Full-time

Re-posted 6 days ago

Job description

About the Role
IAA is seeking a Director of Data Engineering & Data Science to lead a highly visible, business-critical function at the intersection of data, analytics, machine learning, and business transformation. This leader will define and drive the vision, architecture, and execution for IAA's data engineering and data science capabilities, ensuring the organization can scale advanced analytics, BI, forecasting, machine learning, and AI solutions that directly support business growth and operational excellence.
This role requires a strong technical leader and business problem solver who can partner across a broad set of stakeholders including Operations, Business, Sales, Marketing, Product, and Engineering. The ideal candidate brings deep expertise in the Azure BI and data ecosystem, strong people leadership, and the ability to translate complex business needs into practical, scalable data and AI solutions.
This position reports directly to the VP of Engineering and is a critical, high-visibility leadership role within the organization.
What You'll Do
  • Lead the Data Engineering and Data Science Engineering function for IAA, setting technical vision, delivery strategy, and operating rhythm
  • Build and evolve scalable data platforms, BI architecture, and ML-enablement capabilities using the Azure data and analytics stack
  • Drive strategy and execution across Microsoft Fabric, Synapse, Power BI, Azure BI technologies, and modern cloud data platforms
  • Partner with business and functional leaders to solve high-value problems across Operations, Sales, Marketing, Product, and other key areas
  • Guide the design and implementation of robust pipelines, semantic models, dashboards, self-service analytics, forecasting solutions, and machine learning systems
  • Help shape the roadmap for advanced analytics, predictive modeling, experimentation, and AI-driven insights
  • Mentor, coach, and grow data engineering and data science talent while raising the technical bar across the team
  • Establish strong engineering practices across architecture, delivery quality, scalability, governance, and operational excellence
  • Collaborate closely with engineering leaders and cross-functional teams to ensure data and AI solutions are aligned with platform, product, and business priorities
  • Act as a senior thought partner to leadership on data strategy, technical tradeoffs, and investment priorities

What We're Looking For
  • Proven experience leading Data Engineering, BI, Analytics, and/or Data Science Engineering teams at the Director level or equivalent
  • Deep expertise in the Azure BI / data technology stack, including:
    • Microsoft Fabric
    • Azure Synapse Analytics
    • Power BI
    • Broader Azure data and analytics services
  • Strong understanding of data engineering architecture, modern analytics platforms, and scalable data pipelines
  • Strong foundation in data science, machine learning, and model operationalization
  • Demonstrated ability to solve complex business problems through data, analytics, and technical leadership
  • Strong mentoring, coaching, and people leadership skills with experience growing high-performing technical teams
  • Excellent communication and stakeholder management skills; able to work effectively with a wide range of technical and non-technical partners such as Ops, Business, Sales, Marketing, Product, Engineering
  • Ability to operate successfully in a fast-paced, high-visibility environment with multiple priorities and stakeholders
  • Strong executive presence and the ability to connect technical decisions to business outcomes

Preferred Experience
  • Experience supporting enterprise use cases across operations, commercial functions, and product-driven organizations
  • Experience driving both BI modernization and data science / ML adoption within the same organization
  • Familiarity with cloud-native engineering practices, production-grade data platforms, and secure, scalable AI/ML environments
  • Experience leading organizations that combine data engineering, analytics engineering, BI, and data scienceunder one leadership model

IAA Data Science / Engineering Technology Environment
We are looking for a leader who can guide and expand a modern data and AI ecosystem. Relevant technologies include Azure BI capabilities as well as IAA's broader data science and ML toolset, including technologies such as Python, SQL, Azure Event Hub, Apache Airflow, Synapse, Fabric, Docker, Terraform, DBT, PyTorch, TensorFlow, Vertex AI, Gemini, GPT, Prophet, TBATS, SARIMAX, scikit-learn, CI/CD pipelines, and Azure cloud platform.
Why This Role Matters
This is a critical leadership role for IAA. The Director will help shape how the company uses data, analytics, BI, and AI to make better decisions, improve business performance, unlock operational efficiencies, and create scalable competitive advantage. This leader will influence both technical direction and business outcomes across the organization.

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