McDonald's · 18 hours ago
Data Engineer III
Chicago, IL
Full-time
Onsite
Senior Level
$138K/yr - $173K/yr
5+ years expMcDonald's is a leading global omni-channel restaurant brand focused on technology innovation to enhance customer experiences. The Data Engineer III role involves managing data related to Digital Payments, ensuring data reliability and observability while collaborating with various teams to drive data engineering initiatives.
Restaurants
Responsibilities
Builds and maintains relevant and reliable products that support Digital Payments across the organization. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability as the key output
Participates in new software development engineering and Lead data engineering initiatives, ensuring timely and accurate delivery of products
Work closely with the Product owner and help to define business rules that determines the quality of relevant datasets
Drive and implement best practices for pipeline development, data governance, data security and quality across the data landscape
Ensure scalability, maintainability, and quality of data systems powering payment and marketing decisions
Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to meet evolving analytics needs
Document data engineering processes, workflows, and solutions for knowledge sharing and future reference
Mentor and coach junior data engineers on best practices using on-the-job experiences
Ability and flexibility to coordinate and work with teams distributed across time zones, as needed
Qualification
Required
Bachelor's or master's degree in computer science or related engineering field and deep experience with Cloud computing
5+ years of professional experience in data engineering or related fields
Proficiency in Python, Java, or Scala for data processing and automation
Hands-on experience with data orchestration tools (e.g., Apache Airflow, Luigi) and big data ecosystems (e.g., Hadoop, Spark, NoSQL)
Expert knowledge of Data quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc
Deep understanding of Data Product Lifecycle, Standards and Practices
Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools
Proven ability to mentor team members and lead technical initiatives across multiple workstreams
Effective communication and stakeholder management skills to drive alignment and adoption of data engineering standards
Demonstrated experience in data management & data governance capabilities
Familiarity with data warehousing principles and best practices
Excellent problem solver - use of data and technology to solve problems or answer complex data related questions
Excellent collaboration skills to work effectively in cross-functional teams
Benefits
Health and welfare benefits
A 401(k) plan
Adoption assistance program
Educational assistance program
Flexible ways of working
Time off policies (including sick leave, parental leave, and vacation/PTO)
Bonus, calculated based on individual and company performance
Stock or other equity grants pursuant to McDonald’s long-term incentive plan
Company
McDonald's
McDonald’s is the world’s leading global foodservice retailer with over 37,000 locations in over 100 countries.
10001+ employees
H1B Sponsorship
McDonald's has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (61)
2024 (77)
2023 (37)
2022 (31)
2021 (60)
2020 (12)
Funding
Current Stage
Late StageLeadership Team
Darryl Webb
Multi Unit Franchise Owner - President / CEO
Douglas Gehrig
CEO
Recent News
2025-10-07
The Motley Fool
2025-10-07
Company data provided by crunchbase