Data Engineering Manager Visa Sponsorship Jobs in Illinois
Illinois is a major hub for data engineering manager roles, with Chicago anchoring demand across finance, healthcare, and technology sectors. Top employers include Morningstar, Discover Financial, United Airlines, and major consulting firms. Companies in the Chicago metro regularly sponsor H-1B visas for senior data and engineering leadership positions.
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Get Access To All JobsCompany Description
McDonald’s growth strategy, Accelerating the Arches, encompasses all aspects of our business as the leading global omni-channel restaurant brand. As the consumer landscape shifts we are using our competitive advantages to further strengthen our brand. One of our core growth strategies is to Double Down on the 3Ds (Delivery, Digital and Drive Thru). McDonald’s will accelerate technology innovation so 65M+ customers a day will experience a fast, easy experience, whether at one of our 25,000 and growing Drive thrus, through McDelivery, dine-in or takeaway.
McDonald’s Global Technology is here to power tomorrow’s feel-good moments.
That’s why you’ll find us at the forefront of transformative technology, exploring new and innovative ways to serve our millions of customers and spread happiness one delicious Hot Fudge Sundae-dipped fry at a time. Using AI, robotics and emerging tech, we’re digitizing the Golden Arches. Combine that with our unparalleled global scale, and we’re reshaping all areas of the business, industry and every community that is home to a McDonald’s restaurant. We face complex tech challenges every day. But that’s where our diverse and talented teams come in. They’re made up of the best and brightest from all over the globe, and they thrive in the space where feel-good meets fast-paced.
Check out the McDonald’s Global Technology Technical Blog to learn how technology and our global team are directly enabling the Accelerating the Arches strategy.
Department Overview
McDonald’s Global Data & Analytics organization is seeking a Manager, Data Engineering to lead the design, delivery, and evolution of large-scale data products that support critical global business outcomes. This role is responsible for end-to-end technical ownership of data products, including roadmap execution, engineering excellence, and people leadership for a squad of data engineers.
You will operate at the intersection of technology, product, and business, serving as the primary technical decision-maker for your data products while partnering closely with Product Managers, Architects, and key stakeholders across the enterprise. Success in this role requires deep technical fluency, strong leadership instincts, and a customer-focused mindset.
Duties
- Data Product Ownership & Technical Strategy
- Own the technical vision, architecture, and evolution of assigned data products.
- Develop and maintain a target-state technical roadmap, balancing functional enhancements, non-functional requirements (performance, reliability, scalability), and technical debt.
- Serve as a deep subject-matter expert on your products, including:
- Data ingestion, transformation, and loading patterns
- Table structures and semantic layers
- Upstream and downstream integrations
- Evaluate whether existing solutions are fit for purpose and continuously evolve platforms using modern data engineering best practices.
- Partner with Data and Solution Architects to deliver scalable, secure, and reliable data solutions.
- Manage technical dependencies and interfaces across McDonald’s broader data ecosystem.
- Establish engineering best practices for risk management, testing strategy, and production readiness.
- Define and enforce non-functional requirements throughout the product lifecycle.
-
Manage temporary solutions and technical debt at the squad level.
-
Engineering Excellence & Data Quality
- Ensure high standards of data quality, reliability, observability, and performance from an end-user perspective.
- Participate in and lead data quality initiatives across McDonald’s data platforms.
- Oversee testing strategies and validate quality of outputs delivered by internal and external development teams.
- Participate in release planning and deployment coordination in partnership with Product and Deployment teams.
-
Serve as a technical escalation point for complex incidents, defects, or architectural decisions.
-
Stakeholder Partnership & Customer Obsession
- Partner closely with Product Managers to own and execute product roadmaps aligned to business priorities.
- Map product roadmaps into clear release plans and communicate progress to markets and stakeholders.
- Act as an advocate for the global end-user experience, ensuring solutions scale across functions and geographies.
- Conduct or support business acceptance for features and epics based on defined success criteria.
- Actively gather end-user feedback and translate insights into roadmap and product improvements.
- Manage accountability with third-party technology vendors involved in product delivery.
-
Communicate complex technical concepts clearly to stakeholders at varying levels of technical depth.
-
Collaboration & Cross-Team Delivery
- Serve as a catalyst for collaboration across Data & Analytics, Technology, and business teams.
- Partner with Initiative Leads, Product Managers, Architects, and Program teams to maximize value delivery across multi-product initiatives.
- Own and prioritize the product backlog, including participation in intake triage and decomposition of ideas into epics and features.
-
Ensure alignment and coordination across dependent data products and platforms.
-
People Leadership, Capacity & Resource Management
- Provide people leadership for a team of data engineers, including coaching, performance management, and career development.
- Manage squad capacity across development, defect resolution, market enablement, and testing.
- Forecast capacity needs and partner with Demand Management to engage third-party resources when required.
- Ensure work flows through McDonald’s Demand Management and Agile delivery processes effectively.
- Foster a culture of engineering excellence, accountability, and continuous improvement.
Qualifications
Required
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 5+ years of hands-on experience in data engineering or related technical roles.
- Proven experience leading or managing engineering teams in complex environments.
- Strong working knowledge of cloud-based data platforms (AWS and/or GCP).
- Experience building, deploying, and operating data pipelines at scale.
- Experience working in Agile delivery models (sprint planning, stand-ups, retrospectives).
- Strong communication and stakeholder management skills across a global, matrixed organization.
- Detail-oriented, analytical, and able to independently reason through complex problems.
Preferred
- Experience with McDonald’s digital ecosystem, restaurant technology, or enterprise data platforms.
- Familiarity with McDonald’s data systems and digital stack.
- Experience using JIRA, Confluence, and ServiceNow or similar tools.
- Experience working with monitoring, alerting, and incident management tooling.
Additional Information
- Minimal travel required.
- Chicago-based role, working primarily on-site at McDonald’s Global Headquarters.
Compensation
Salary Range
The expected salary range for this role is $138,207.00 - $172,758.00 per year
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we may also consider your experience, and other job-related factors.
Additional Information:
Benefits eligible: This position offers health and welfare benefits, including but not limited to comprehensive health insurance, which includes medical, prescription drug, mental health, dental and vision coverage, as well as, life insurance.
Bonus eligible: This position is eligible for a bonus, calculated based on individual and company performance.
Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonald’s long-term incentive plan.
McDonald’s is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald’s provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact mcdhrbenefits@us.mcd.com. Reasonable accommodations will be determined on a case-by-case basis.
McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.
Job Details
- Job title: Manager, Data Engineering
- Position Type:
- Date Posted: 05/08/2026
- Job Classification:
- Location(s): Chicago, IL, 60607, US
- Job ID: 3859
Company Description
McDonald’s growth strategy, Accelerating the Arches, encompasses all aspects of our business as the leading global omni-channel restaurant brand. As the consumer landscape shifts we are using our competitive advantages to further strengthen our brand. One of our core growth strategies is to Double Down on the 3Ds (Delivery, Digital and Drive Thru). McDonald’s will accelerate technology innovation so 65M+ customers a day will experience a fast, easy experience, whether at one of our 25,000 and growing Drive thrus, through McDelivery, dine-in or takeaway.
McDonald’s Global Technology is here to power tomorrow’s feel-good moments.
That’s why you’ll find us at the forefront of transformative technology, exploring new and innovative ways to serve our millions of customers and spread happiness one delicious Hot Fudge Sundae-dipped fry at a time. Using AI, robotics and emerging tech, we’re digitizing the Golden Arches. Combine that with our unparalleled global scale, and we’re reshaping all areas of the business, industry and every community that is home to a McDonald’s restaurant. We face complex tech challenges every day. But that’s where our diverse and talented teams come in. They’re made up of the best and brightest from all over the globe, and they thrive in the space where feel-good meets fast-paced.
Check out the McDonald’s Global Technology Technical Blog to learn how technology and our global team are directly enabling the Accelerating the Arches strategy.
Department Overview
McDonald’s Global Data & Analytics organization is seeking a Manager, Data Engineering to lead the design, delivery, and evolution of large-scale data products that support critical global business outcomes. This role is responsible for end-to-end technical ownership of data products, including roadmap execution, engineering excellence, and people leadership for a squad of data engineers.
You will operate at the intersection of technology, product, and business, serving as the primary technical decision-maker for your data products while partnering closely with Product Managers, Architects, and key stakeholders across the enterprise. Success in this role requires deep technical fluency, strong leadership instincts, and a customer-focused mindset.
Duties
- Data Product Ownership & Technical Strategy
- Own the technical vision, architecture, and evolution of assigned data products.
- Develop and maintain a target-state technical roadmap, balancing functional enhancements, non-functional requirements (performance, reliability, scalability), and technical debt.
- Serve as a deep subject-matter expert on your products, including:
- Data ingestion, transformation, and loading patterns
- Table structures and semantic layers
- Upstream and downstream integrations
- Evaluate whether existing solutions are fit for purpose and continuously evolve platforms using modern data engineering best practices.
- Partner with Data and Solution Architects to deliver scalable, secure, and reliable data solutions.
- Manage technical dependencies and interfaces across McDonald’s broader data ecosystem.
- Establish engineering best practices for risk management, testing strategy, and production readiness.
- Define and enforce non-functional requirements throughout the product lifecycle.
-
Manage temporary solutions and technical debt at the squad level.
-
Engineering Excellence & Data Quality
- Ensure high standards of data quality, reliability, observability, and performance from an end-user perspective.
- Participate in and lead data quality initiatives across McDonald’s data platforms.
- Oversee testing strategies and validate quality of outputs delivered by internal and external development teams.
- Participate in release planning and deployment coordination in partnership with Product and Deployment teams.
-
Serve as a technical escalation point for complex incidents, defects, or architectural decisions.
-
Stakeholder Partnership & Customer Obsession
- Partner closely with Product Managers to own and execute product roadmaps aligned to business priorities.
- Map product roadmaps into clear release plans and communicate progress to markets and stakeholders.
- Act as an advocate for the global end-user experience, ensuring solutions scale across functions and geographies.
- Conduct or support business acceptance for features and epics based on defined success criteria.
- Actively gather end-user feedback and translate insights into roadmap and product improvements.
- Manage accountability with third-party technology vendors involved in product delivery.
-
Communicate complex technical concepts clearly to stakeholders at varying levels of technical depth.
-
Collaboration & Cross-Team Delivery
- Serve as a catalyst for collaboration across Data & Analytics, Technology, and business teams.
- Partner with Initiative Leads, Product Managers, Architects, and Program teams to maximize value delivery across multi-product initiatives.
- Own and prioritize the product backlog, including participation in intake triage and decomposition of ideas into epics and features.
-
Ensure alignment and coordination across dependent data products and platforms.
-
People Leadership, Capacity & Resource Management
- Provide people leadership for a team of data engineers, including coaching, performance management, and career development.
- Manage squad capacity across development, defect resolution, market enablement, and testing.
- Forecast capacity needs and partner with Demand Management to engage third-party resources when required.
- Ensure work flows through McDonald’s Demand Management and Agile delivery processes effectively.
- Foster a culture of engineering excellence, accountability, and continuous improvement.
Qualifications
Required
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 5+ years of hands-on experience in data engineering or related technical roles.
- Proven experience leading or managing engineering teams in complex environments.
- Strong working knowledge of cloud-based data platforms (AWS and/or GCP).
- Experience building, deploying, and operating data pipelines at scale.
- Experience working in Agile delivery models (sprint planning, stand-ups, retrospectives).
- Strong communication and stakeholder management skills across a global, matrixed organization.
- Detail-oriented, analytical, and able to independently reason through complex problems.
Preferred
- Experience with McDonald’s digital ecosystem, restaurant technology, or enterprise data platforms.
- Familiarity with McDonald’s data systems and digital stack.
- Experience using JIRA, Confluence, and ServiceNow or similar tools.
- Experience working with monitoring, alerting, and incident management tooling.
Additional Information
- Minimal travel required.
- Chicago-based role, working primarily on-site at McDonald’s Global Headquarters.
Compensation
Salary Range
The expected salary range for this role is $138,207.00 - $172,758.00 per year
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we may also consider your experience, and other job-related factors.
Additional Information:
Benefits eligible: This position offers health and welfare benefits, including but not limited to comprehensive health insurance, which includes medical, prescription drug, mental health, dental and vision coverage, as well as, life insurance.
Bonus eligible: This position is eligible for a bonus, calculated based on individual and company performance.
Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonald’s long-term incentive plan.
McDonald’s is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald’s provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact mcdhrbenefits@us.mcd.com. Reasonable accommodations will be determined on a case-by-case basis.
McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.
Job Details
- Job title: Manager, Data Engineering
- Position Type:
- Date Posted: 05/08/2026
- Job Classification:
- Location(s): Chicago, IL, 60607, US
- Job ID: 3859
Data Engineering Manager Job Roles in Illinois
See all 42+ Data Engineering Manager Jobs in Illinois
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Search Data Engineering Manager Jobs in IllinoisData Engineering Manager Jobs in Illinois: Frequently Asked Questions
Which companies sponsor visas for data engineering managers in Illinois?
Chicago-based employers with consistent H-1B sponsorship records for senior data roles include Morningstar, Discover Financial Services, United Airlines, Zebra Technologies, and Accenture. Large consulting firms such as Deloitte and Infosys also maintain significant Illinois operations and regularly file for data engineering leadership positions. Healthcare organizations like CommonSpirit Health and Northwestern Medicine have also sponsored data engineering roles.
Which visa types are most common for data engineering manager roles in Illinois?
The H-1B is the most common visa for data engineering managers in Illinois, as the role qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, data engineering, or a related field. Candidates with multinational experience may also be considered for L-1A visas. Those with extraordinary achievement in data or engineering disciplines sometimes pursue O-1 visa classification.
Which cities in Illinois have the most data engineering manager sponsorship jobs?
Chicago accounts for the overwhelming majority of data engineering manager sponsorship activity in Illinois, particularly in the River North, West Loop, and Fulton Market tech corridors. Suburbs including Deerfield, Schaumburg, and Lisle also have employer concentrations in finance and manufacturing technology. Outside the Chicago metro, Champaign-Urbana has a smaller but active tech hiring presence connected to the University of Illinois.
How to find data engineering manager visa sponsorship jobs in Illinois?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search data engineering manager roles in Illinois without sifting through positions that don't sponsor. The platform is designed for international candidates, making it straightforward to identify Chicago-area employers actively hiring for this role. Filtering by state and role title on Migrate Mate gives you a focused view of current sponsorship opportunities.
Are there state-specific considerations for data engineering manager sponsorship in Illinois?
Illinois employers filing H-1B petitions for data engineering managers must meet Department of Labor prevailing wage requirements for the specific work location, which are determined at the county level. Chicago's prevailing wages for senior data engineering roles reflect the city's competitive market. The University of Illinois system also produces a strong pipeline of data engineering talent, meaning Illinois employers are often experienced with the sponsorship process for this role category.
What is the prevailing wage for sponsored data engineering manager jobs in Illinois?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.