Data Engineer III
Company Description
Job Description
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 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, Finance, and more — through seamless integration of business and technology.
McDonald's is hiring a Data Engineer III focused on Data Clean Room data ingestion, curation, and analytics. This role sits within Product Engineering & Delivery under Data Clean rooms team and reporting into the Senior Manager, Data Clean Rooms.
This group manages data supporting Paid Media measurement, audience activation, attribution, sales lift, and downstream audience use-cases across markets. You will work alongside passionate data engineering professionals, architects, product managers, and business stakeholders focused on Marketing, MarTech, and Commerce Media.
Duties
- Builds and maintains relevant and reliable data products that support Data Clean Room generation flows, outbound audience activation pipelines, and downstream consumers of data clean room segments.
- 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 leads data engineering initiatives, ensuring timely and accurate delivery of DCR products across GCP (prj-cp-dacleanroom-dev01 and related tenants), AWS S3, and LiveRamp Connect.
- Works closely with the Product Owner and Data Architects to define business rules that determine the quality of relevant datasets.
- Drives and implements best practices for pipeline development, data governance, data security, and quality across the marketing data landscape — including privacy-safe transformations, hashing, and consent enforcement.
- Stays up to date with emerging data engineering, MarTech, and clean room technologies, trends, and best practices, and evaluates their applicability to meet evolving analytics needs.
- Documents data engineering processes, workflows, and solutions in for knowledge sharing and future reference. Mentors and coaches junior data engineers and ensures data engineering best-practices.
- Ability and flexibility to coordinate and work with teams distributed across time zones (US, EU, IN, APAC), 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 and SQL for data processing and automation.
- Hands-on experience with data orchestration tools (e.g., Apache Airflow, dbt) and big data ecosystems (e.g., Spark, NoSQL, BigQuery, Snowflake, Databricks).
- Expert knowledge of Data Quality functions like cleansing, standardization, parsing, de-duplication, mapping, and hierarchy management.
- Deep understanding of Data Product Lifecycle, Standards, and Practices.
- Marketing and Marketing Technologies: Working knowledge of the modern MarTech stack — CDPs (mCDP or equivalent), DSPs, DMPs, ad servers, measurement platforms, identity resolution, and consent/privacy platforms.
- Clean Rooms and Commerce Media Networks: Hands-on experience with at least one clean room platform (e.g. LiveRamp, Habu, Snowflake Clean Rooms, AWS Clean Rooms, Google Ads Data Hub, or Amazon Marketing Cloud) and familiarity with commerce media / retail media network patterns.
- Understanding of privacy-safe data collaboration concepts: hashing, identity graphs, differential privacy, aggregation thresholds, and clean room query patterns.
- Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools.
- Familiarity with data warehousing principles and best practices.
- 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 $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.