freehire launches on Product Hunt on 26 August.

Follow →

Data Engineer (Food Delivery)

Summary

Build and maintain big-data pipelines and storage for Grubhub’s marketing analytics, turning raw orders into automated reports and metrics used by senior leadership.

Company Background

Grubhub is the nation's leading online and mobile food ordering company dedicated to connecting hungry diners with local takeout restaurants. The company’s online and mobile ordering platforms allow diners to order from more than 80,000 takeout restaurants in over 1,600 U.S. cities and London. Every order is supported by the company’s 24/7 customer service teams. Grubhub has offices in Chicago, New York and London. The Grubhub portfolio of brands includes Grubhub, Seamless, Eat24, AllMenus and MenuPages. Grubhub was founded in 2004, and Seamless was founded in 1999. In late 2013, the companies merged, and today serve diners and corporate businesses from 80,000 local takeout restaurants in over 1,600 U.S. cities and London.

  • Features more than 80,000 online and mobile ordering restaurants in over 1,600 U.S. cities and London
  • In 2017, sent nearly $4 billion in gross food sales to local takeout restaurants
  • Processes 436,900 daily orders
  • Serves 15.1 million active diners
  • Grubhub has sent more than $1 billion in total tips to drivers
  • More than 60 percent of Grubhub and Seamless orders are placed through mobile devices
  • Offices in Chicago, New York City and London

Project Description

The Data Engineer position within Grubhub's team plays a pivotal role in enhancing big data infrastructure and refining existing pipelines that drive Grubhub's marketing efforts. As a Data Engineer, you will be expected to develop a well-informed long-term data architecture, lead structured problem-solving efforts, and remain flexible and adaptable to seize new opportunities as they arise. Our team's responsibilities extend to generating automated analytical reports and metrics that are reviewed at senior levels. Candidates should possess expertise in designing, creating, managing, and leveraging large datasets for business purposes.

This position provides a distinct chance to oversee and develop novel solutions for data storage, pipelining, and visualization starting end-to-end. The pipelines and processes developed in this role will be indispensable for accomplishing business needs. As such, we are seeking an individual who can not only excel in engineering tasks but also demonstrate a keen interest in understanding the business intent of their work. The ideal candidate should possess exceptional attention to detail, strong communication skills, resourcefulness, a customer-centric approach, a team-oriented mindset, the ability to work independently in a fast-paced environment and have an ownership mindset.

See also