Data Engineer - Data & Analytics

McDonald's Corporation is seeking an experienced Data Engineer - Data & Analytics with a passion for data-driven problem solving to join our team. As a member of the Data & Analytics team, you will be responsible for developing and managing data architectures, extracting and transforming data, and building data pipelines. The ideal candidate will possess strong technical skills, a collaborative and creative approach to problem-solving, and a commitment to data quality.The successful candidate should possess strong knowledge of database technologies, data warehousing, data engineering, and ETL processes. They must be able to work independently, as well as in a team environment, and take initiative to solve complex data-related problems.If you are passionate about leveraging data and analytics to drive business value and have the skills and experience to excel in this role, we would love to hear from you.

Responsibilities:

1. Develop and manage data architectures, extract and transform data, and build data pipelines.
2. Utilize database technologies, data warehousing, data engineering, and ETL processes.
3. Collaborate and communicate effectively with other members of the Data & Analytics team.
4. Take initiative to solve complex data-related problems.
5. Monitor data quality and accuracy to ensure accuracy and integrity of data.
6. Utilize data and analytics to drive business value.
7. Stay informed of industry trends and emerging technologies.

According to JobzMall, the average salary range for a Data Engineer - Data & Analytics in Chicago, IL, USA is $92,894 to $156,936 per year. This range would depend on the individual's experience level and the company they are applying to.

McDonald's is the world's leading global foodservice retailer with over 37,000 locations in over 100 countries. More than 90% of McDonald's restaurants worldwide are owned and operated by independent local business men and women.