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Data Infrastructure Manager Jobs in Chicago, IL (NOW HIRING)

The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable ... Develop and manage data pipelines and queries to support pricing analysis and reporting * Modernize ...

This role provides strategic oversight of infrastructure asset management, capital planning analytics, and portfolio-wide data governance to help ensure capital investment decisions are informed ...

This role provides strategic oversight of infrastructure asset management, capital planning analytics, and portfolio-wide data governance to help ensure capital investment decisions are informed ...

Infrastructure Engineer

Chicago, IL · On-site

$110K - $145K/yr

Ownership over our data center infrastructure, tasked with all aspects of keeping it up and ... Experience with remote management tools for servers (iDrac, iLO) * Understanding of automated ...

Strategic Account Manager - MidWest Region Location: Remote, United States - MidWest Region Travel ... Align Nasuni solutions to customer initiatives such as data infrastructure modernization, hybrid ...

Wintrust provides community and commercial banking, specialty finance and wealth management ... Continuously monitor and optimize existing data infrastructure for performance, security, and cost ...

Wintrust provides community and commercial banking, specialty finance and wealth management ... Continuously monitor and optimize existing data infrastructure for performance, security, and cost ...

By six months, you are helping steer the roadmap for market data infrastructure. You have improved ... Managing retention and data lifecycle policies * Keeping the platform maintainable as data volumes ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Infrastructure Enhancement & Collaboration (20%) Contribute to evolution of the QIG data ... As needed, partner with technology teams to evaluate and integrate internally managed data sources.

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Infrastructure Enhancement & Collaboration (20%) Contribute to evolution of the QIG data ... As needed, partner with technology teams to evaluate and integrate internally managed data sources.

Infrastructure Data Analytics Engineer

Chicago, IL · On-site

$118K - $141K/yr

Infrastructure monitoring platforms * CMDB and asset management systems * Cloud platforms (Azure ... Data extraction * Data transformation * Data quality validation * Automation workflows * API ...

New

Data Engineers

Chicago, IL · On-site

$118K - $141K/yr

... data infrastructure and platforms to collect and process large amounts of data, including ... Define standards for naming, describing, governing, managing, modeling, cleaning, enriching ...

Data Engineers

Chicago, IL · On-site

$118K - $141K/yr

... data infrastructure and platforms to collect and process large amounts of data, including ... Define standards for naming, describing, governing, managing, modeling, cleaning, enriching ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Data Engineer, Trading

Chicago, IL · On-site

$118K - $141K/yr

... Data Infrastructure team, to help improve and extend the data platform. This position will work ... Successful applicants for this position will be working in an agile project management process on a ...

Showing results 41-60

Data Infrastructure Manager information

See Chicago, IL salary details

$82.9K

$158.7K

$204K

How much do data infrastructure manager jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data infrastructure manager in Chicago, IL is $158,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $202,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Infrastructure Manager, you need expertise in data architecture, storage solutions, and database administration, typically backed by a degree in computer science or a related field. Familiarity with tools like SQL, Hadoop, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as AWS Certified Solutions Architect are highly valuable. Strong leadership, problem-solving, and communication skills help you effectively manage teams and collaborate with stakeholders. These skills and qualities ensure reliable, scalable data systems that support organizational goals and data-driven decision making.

What is the difference between Data Infrastructure Manager vs Data Engineer?

AspectData Infrastructure ManagerData Engineer
Primary FocusOversees data systems, infrastructure, and architecture managementBuilds, develops, and maintains data pipelines and models
Required SkillsData architecture, leadership, project managementProgramming, ETL processes, database management
CertificationsCloud certifications, data management certificationsSQL, Python, cloud platform certifications
Work EnvironmentManagement, strategic planning, cross-team collaborationHands-on coding, data pipeline development

The Data Infrastructure Manager focuses on overseeing and managing the company's data systems and architecture, ensuring data availability and security. In contrast, Data Engineers are primarily responsible for designing and building the data pipelines and tools needed for data analysis. Both roles require technical skills and certifications, but the Manager role emphasizes leadership and strategic oversight, while the Engineer role is more technical and implementation-focused.

What is a data infrastructure manager?

Data Infrastructure Managers are professionals responsible for overseeing the design, implementation, and maintenance of an organization's data systems and architecture. They ensure that data storage, processing, and retrieval systems are efficient, secure, and scalable to meet business needs. Their role typically involves managing a team of data engineers, collaborating with IT and business units, and setting strategies for data governance and compliance. Data Infrastructure Managers play a critical role in enabling reliable data analytics and business intelligence by maintaining robust data pipelines and platforms.

What are some common challenges faced by data infrastructure managers, and how can they be addressed?

Data Infrastructure Managers often encounter challenges such as scaling systems to handle increasing data volumes, ensuring high availability, and integrating new technologies with legacy systems. Addressing these issues typically involves proactive capacity planning, implementing robust monitoring and alerting tools, and fostering cross-functional collaboration with data engineering and IT security teams. Staying up-to-date with industry best practices and investing in staff training can also help mitigate these challenges and ensure reliable, scalable infrastructure.
What are the most commonly searched types of Data Infrastructure jobs in Chicago, IL? The most popular types of Data Infrastructure jobs in Chicago, IL are:
What job categories do people searching Data Infrastructure Manager jobs in Chicago, IL look for? The top searched job categories for Data Infrastructure Manager jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Data Infrastructure Manager jobs? Cities near Chicago, IL with the most Data Infrastructure Manager job openings:
Infographic showing various Data Infrastructure Manager job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $158,671 per year, or $76.3 per hour.

Pricing Data Engineer

Mwe

Chicago, IL

$110K - $169K/yr

Full-time

Re-posted 6 hours ago


Job description

Build your big career with the firm that does Big Law, Better. McDermott Will & Schulte is a leading global law firm that brings together more than 1,700+ lawyers and 1,400 business professionals. We celebrate excellence, collaboration, and community and have been recognized as a top workplace by USA Today, Fortune, The American Lawyer, Vault and others. We are also certified by Great Place to Work.

At McDermott, we don't just invest in your future, we accelerate your career - wherever it may lead. That includes supporting you both in and outside of the office.

With us, you'll find:

  • A firm where everyone belongs: Our award-winning culture prioritizes warmth and authenticity - we encourage you to be yourself!

  • Enthusiasm for all perspectives: We're smarter and stronger when everyone has a voice and a seat at the table. We welcome unique viewpoints and ideas, and we make opportunities for you and your career to thrive.

  • Support to feel your best and do your best: Wellness is integral to building a successful career and a rich life. That's why our benefits program supports your physical, emotional, mental, and financial health, with an emphasis on work-life balance.

  • Real rewards for real work: We offer generous compensation packages that recognize hard work and excellence.

Job Description:

The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable consistent, data-driven pricing across the firm while modernizing workflows and reducing reliance on manual processes. This role supports scalable solutions and the integration of AI-driven capabilities to enhance pricing analysis and insights, and collaborates with cross-functional teams to align with firm standards and continuous improvement efforts. The Pricing Data Engineer works under minimal supervision, and relies on significant experience to plan and accomplish objectives.

Essential Functions and Responsibilities:

  • Design and maintain scalable pricing workflows that support consistent matter scoping, budgeting, and financial analysis across the firm

  • Build and maintain a centralized pricing data infrastructure, consolidating data from multiple systems to support firmwide pricing

  • Support the development and maintenance of pricing strategies for AI-enabled legal services and emerging delivery models

  • Develop and manage data pipelines and queries to support pricing analysis and reporting

  • Modernize pricing workflows by reducing reliance on manual processes and implementing scalable, system-driven solutions

  • Design and deliver pricing tools, including budget builders, scenario modeling, and comparable matter analysis interfaces

  • Integrate AI capabilities into pricing workflows to enhance analysis, forecasting, and decision-making

  • Collaborate with cross-functional teams to support effective pricing, planning, and monitoring of matters through data-driven tools

  • Establish feedback loops to track performance and continuously improve pricing models, tools, and methodologies

  • Develop pricing frameworks and unit economics to support AI-enabled legal work, enabling partners to price, monitor, and refine matters

  • Design pricing processes to be natively executable using AI tools

  • Design and maintain a centralized pricing data layer to support consistent data access and usability

  • Enhance data granularity to enable detailed pricing analysis across phase, task, and resource levels

  • Ensure consistency, transparency, and governance across all pricing data, tools, and methodologies

Job Specifications:

  • Bachelor's degree in Data Analytics, Information Systems, Computer Science, Finance, or related field preferred

  • Strong SQL and Python skills, with experience building scalable workflows, structured data pipelines, automation, APIs, and reporting solutions

  • Experience working with AI platforms, automation tools, or AI-enabled workflows preferred

  • Knowledge of cloud data warehouses and experience with cloud-based data platforms and data visualization/reporting tools preferred

  • Strong mathematical and analytical skills

  • Ability to work under tight deadlines and prioritize responsibilities

Successful candidates will be provided with outstanding career opportunities and will receive a competitive total rewards package with the opportunity to earn performance-based bonuses.


Target Hiring Range $110,000 - $169,000


Please note that quoted salary ranges are not guarantees of what final salary offers may be. Base pay is based on market location and may vary depending on job-related knowledge, skills, experience, and geographic location. Base pay is only one part of the Total Rewards that MWS provides to compensate and recognize our staff professionals for their work. Full time positions are eligible for a discretionary bonus and a comprehensive benefits package.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Physical Demands and Work Environment:

The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Physical Demands:

  • While performing the duties of this job, the employee is required to sit, use hands, reach with hands and arms, stoop, talk and hear

  • Employee must occasionally lift up to twenty (20) pounds

Work Environment:

Typical indoor office environment

Disclaimer:

The above statements are intended to describe the general nature and level of the work being performed by people within this classification. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of employees assigned to this job.