Data Engineer III (Chicago, IL, US, 60607) chez McDonald's: Burgers, Fries & More. Quality Ingredients.
McDonald's: Burgers, Fries & More. Quality Ingredients. · Chicago, États-Unis d'Amérique · Onsite
- Professional
- Bureau à Chicago
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 is creating smarter, more responsive digital and data systems that transform operations and elevate guest experiences. The Enterprise Data, Analytics, and AI (EDAA) organization empowers every function—marketing, operations, supply chain, and more—through seamless integration of business and technology.
McDonald’s is hiring a Data Engineer III, focused on Digital Payments data ingestion, curation and analytics. This area covers data flowing from our payment providers and McDonald's payment services. This role sits within Data Analytics, Architecture and AI. This group manages data from various areas of the business, including Sales, Restaurant, Finance and People, and many more. You will work alongside passionate data engineering professionals and business stakeholders focused on Digital Payments, Treasury and MarTech.
Responsibilities
- Builds and maintains relevant and reliable Menu data products that support menu and marketing Analytics. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view.
- Participates in new software development engineering and Lead data engineering initiatives supporting Product Mix Analytics, ensuring timely and accurate delivery of marketing and menu-related products.
- Work closely with the Product owner and help to define business rules that determines the quality of Menu datasets.
- Drive and implement best practices for pipeline development, data governance, data security and quality across marketing and menu-related datasets.
- Ensure scalability, maintainability, and quality of data systems powering menu item tracking, promotion data, and marketing analytics.
- Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to meet evolving Product Mix analytics needs.
- Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference.
- Mentor and coach junior data engineers, particularly in areas related to menu item tracking, promotion data, and marketing analytics.
- Ability and flexibility to coordinate and work with teams distributed across time zones, as needed
Qualifications
- 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.
Compensation
Bonus Eligible: Yes
Long - Term Incentive: Yes
Benefits Eligible: Yes
Salary Range
The expected salary range for this role is $129,800 - $165,490 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.
Competencies
Additional Information:
Benefits eligible: This position offers health and welfare benefits, a 401(k) plan, adoption assistance program, educational assistance program, flexible ways of working, and time off policies (including sick leave, parental leave, and vacation/PTO). Eligibility requirements apply to some benefits and may depend on job classification and length of employment.
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 [email protected]. 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.
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