We have a fast-paced environment and that is what our teams thrive on. Grubhub believes in empowering people and offering opportunities for development, as well as professional growth. We value strong, positive relationships in all areas: with each other, our customers and our greater community. Want to be a part of a team of diverse collaborators in an authentically fun culture? If so, we want to talk to you - and hear what’s your favorite restaurant for food delivery!
More About the Role
Data Engineer will be responsible for building efficient data pipelines that transform raw data into a format usable by downstream applications that serve both analytical and operational use cases.
This Data Engineer will be working closely with business stakeholders, product managers and engineering teams to meet data requirements of various initiatives in Grubhub.
The Impact You Will Make
- Working with high volumes of data to efficiently process and expose for analysis
- Collaborating with other engineering teams on strategies for data
- Work with cutting edge data processing technologies
- Understand our stakeholder (Finance, Marketing, Product) requirements and write complex and efficient code to transform raw data into an easy to approach data marts.
- Doing deep dives on business verticals where you become one of the foremost experts on that vertical in the company
- Analyze data to measure impacts of data schemas and use it to iterate on improvements
- Translate from technical to business, and vice versa. You need to be able to speak with the least technically-minded client (internal or external) and make technology make sense to them. Then turn around and do it the other way
What You Bring to the Table
- Excellent knowledge on SQL, data modeling and patterns.
- 5-7 years experience with Python or another general purpose programming language
- Background in writing ETL jobs within a Business Intelligence context
- A bachelor's degree, preferably in a computer-related discipline.
- Enthusiasm for the job. Are you excited about data? Do you love your users? Good, the same goes for us.