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.
Job Description
McDonald’s Global Technology – Data & Analytics team is looking to hire a Senior Data Engineer who has a deep understanding of Data Product Lifecycle, Standards and Practices. You will be responsible for building scalable and efficient data solutions to support the company’s data products and analytics initiatives. As a Senior Data Engineer, you will collaborate with data scientists, analysts, and other cross-functional teams to ensure the availability, reliability, and performance of data systems. You will take ownership of engineering modules and act as an experienced leader of other engineers. Your expertise in cloud computing platforms, technologies and data engineering best practices will play a crucial role in delivering high-quality data products and enabling data-driven decision-making.

PREFERRED REQUIREMENTS:

• Experience with JIRA and Confluence as part of project workflow and documentation tools is a plus
• Experience with Agile project management methods and terminology a plus
• Experience with Prometheus, Grafana
  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 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

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related engineering field and deep experience with Google Cloud Platform (GCP) infrastructure
• 10+ years of strong experience in data engineering, preferably with cloud-based tech stack
• 7+ years of proficiency in programming languages commonly used in data engineering, such as Python.
• 5+ years of hands-on experience with big data processing frameworks, such as Apache Spark.
• 5+ years of hands-on experience with data modeling, ETL / ELT development, and data integration techniques.
• Experience with RELTIO master data management and integration is a strong plus
• Working knowledge of relational and dimensional data design and modeling in a large multi-platform data environment
• Solid understanding of SQL and database concepts.
• Expert knowledge of quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc.
• Expert Knowledge of data, master data and metadata related standards, processes and technology
• Ability to drive continuous data management quality (i.e. timeliness, completeness, accuracy) through defined and governed principles
• Experience in leading engineering teams in development efforts
• Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools
• 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 communication and collaboration skills to work effectively in cross-functional teams

• Builds and maintains relevant and reliable data products that support the business needs. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view.
• Owns engineering modules and functionalities and supports them through a full development cycle
• Leads a back-end engineering team and facilitates cross-functional relationships to solve relevant business issues
• Participates in new software development engineering. Helps to define business rules that determines the quality of data, assists the product owner in writing test scripts that validates business rules, and performs detailed and rigorous testing to ensure data quality
• Develops a solid understanding of the technical details of data domains, and clearly understands what business problems are being solved
• Designing and developing data pipelines and integration processes to extract, transform, and load data from various sources into cloud-based data storage solutions
• Implementing and maintaining scalable data architectures that support efficient data storage, retrieval, and processing.
• Collaborating with data scientists and analysts to understand data requirements and ensure data accuracy, integrity, and availability.
• Building and optimizing data integration workflows to connect data from different systems and platforms.
• Monitoring and troubleshooting data pipelines, identifying and resolving performance issues and bottlenecks.
• Ensuring data security and compliance with data governance policies and regulations.
• Managing data infrastructure on cloud-based platform (i.e. GCP), including capacity planning, cost optimization, and resource allocation.
• Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to improve data systems and processes.
• Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference.
• Ability and flexibility to coordinate and work with teams distributed across time zones, as needed. For instance, early morning/late evening hours to coordinate with teams in India
  Benefits eligible: Yes
  Bonus eligible: Yes
  Long term incentive eligible: Yes
  The expected salary range for this role is $149,260 – $190310 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.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related engineering field and deep experience with Google Cloud Platform (GCP) infrastructure
• 10+ years of strong experience in data engineering, preferably with cloud-based tech stack
• 7+ years of proficiency in programming languages commonly used in data engineering, such as Python.
• 5+ years of hands-on experience with big data processing frameworks, such as Apache Spark.
• 5+ years of hands-on experience with data modeling, ETL / ELT development, and data integration techniques.
• Experience with RELTIO master data management and integration is a strong plus
• Working knowledge of relational and dimensional data design and modeling in a large multi-platform data environment
• Solid understanding of SQL and database concepts.
• Expert knowledge of quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc.
• Expert Knowledge of data, master data and metadata related standards, processes and technology
• Ability to drive continuous data management quality (i.e. timeliness, completeness, accuracy) through defined and governed principles
• Experience in leading engineering teams in development efforts
• Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools
• 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 communication and collaboration skills to work effectively in cross-functional teams.