Data Engineer III

Company Description:

McDonald’s is proud to be one of the most recognized brands in the world, with restaurants in over 100 countries that serve 70 million customers daily. We continue to operate from a position of strength. Our updated growth strategy is focused on staying ahead of what our customers want and realizing further growth potential. Our relentless ambition is why McDonald’s remains one of the world’s leading corporations after almost 70 years. Joining McDonald's means thinking big and preparing for a career that can have influence around the world.

At McDonald’s, we see every day as a chance to create positive impact. We lead through our values centered on inclusivity, service, integrity, community and family. From support of Ronald McDonald House to our Youth Opportunity project and sustainability initiatives, our values keep us dedicated to using our scale for good: good for our customers, people, industry and planet. We also offer a broad range of outstanding benefits including a sabbatical program, tuition assistance and flexible work arrangements.

Department Overview

McDonald’s Global Technology - Data & Analytics team is looking to hire a 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 Data Engineer, you will collaborate with data scientists, analysts, and other cross-functional teams to ensure the availability, reliability, and performance of data systems. Your knowledge 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.

Duties

• 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.
• 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 ETL processes to extract, transform, and load data from various sources into cloud data storage solutions (e.g., S3, Redshift, GCS, BigQuery).
• Implementing and maintaining scalable data architectures that support efficient data storage, retrieval, and processing.
• Collaborating with business partners, product leads, 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, in real-time and near real-time.
• 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 platform, 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

Qualifications

• Bachelor's or Master's degree in Computer Science or related engineering field and deep experience with cloud infrastructure
• Deep hands-on experience in data engineering, specifically with GCP & AWS backend tech stack, including but not limited to GCS, BigQuery, Cloud Functions, Cloud Run, S3, Redshift, Glue, Lambda, etc.
• Proficiency in programming languages commonly used in data engineering, such as Python.
• Hands-on experience with big data processing frameworks, such as Apache Spark.
• Hands-on experience with real-time data streaming and processing using Apache Kafka alongside frameworks like Spark Structured Streaming, Apache Beam, Google Cloud Dataflow, or Apache/Confluent Flink.
• Hands-on experience with data modeling, ETL/ELT, and data integration techniques.
• Working knowledge of relational and dimensional data design and modeling in a large multi-platform data environment
• Proficient in SQL, with good understanding of 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
• 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.
• Experience with JIRA and Confluence as part of project workflow and documentation tools is a plus
• Experience with Agile project management methods and terminology is a plus

Compensation

Bonus Eligible: EDIT

Long - Term Incentive: EDIT

Benefits Eligible: EDIT

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. 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.