Senior Data Engineer
About The Position
We are CDAI—the data and artificial intelligence engine of Compass Group North America. We design and deliver custom, in-house solutions tailored to the unique complexities of food service and hospitality. Our work is grounded in strong data foundations, layered with AI to enhance forecasting, streamline operations, and enable better, faster decision-making across Compass Group. With deep integration into the business and a commitment to white-glove service, CDAI empowers associates, clients, and customers through innovative, future-forward technologies. We are CDAI—the data and artificial intelligence engine of Compass Group North America. We design and deliver custom, in-house solutions tailored to the unique complexities of food service and hospitality. Our work is grounded in strong data foundations, layered with AI to enhance forecasting, streamline operations, and enable better, faster decision-making across Compass Group. With deep integration into the business and a commitment to white-glove service, CDAI empowers associates, clients, and customers through innovative, future-forward technologies.
Requirements
- 5-7 years of experience in a similar role.
- Comfortable dealing with stakeholders (both internal and external), project managers to ensure deliverables are met.
- Bachelor’s degree or equivalent in Computer Science, Computer Engineering, Information Systems or similar.
- Programming skills with Python, Spark, experience with Apache Iceberg a big plus
- Experience with Airflow or other modern orchestration platform.
- Strong knowledge of SQL, relational database concepts and SQL scripting
- Experience with Docker, Kubernetes, Snowflake, CI/CD
Responsibilities
- Lead a pod of Data-Engineers ensuring that milestones are being hit.
- Design, implement and maintain data pipelines for extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies.
- Build and maintain existing Airflow DAGs
- Prototype new technology that supports our vision of making our consumer’s experiences better with our data
- Provide support and insights to the business analytics and data science teams.
- Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
- Work with Data Scientists and Machine Learning Engineers to build out robust and scalable pipelines and APIs
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
