Data Engineer

Position: Staff Data Engineer
Location: New York

About Grubhub At Grubhub, we believe food is more than just a meal:
It’s a source of discovery, connection, and pure enjoyment. There’s a time and place for every type of dish, from hidden neighborhood gems to tried-and-true favorites, and we exist to connect people with the food they love in all the ways they like to dig in. We’ve been at it since 2004, but now, as part of Wonder, Grubhub is operating with a renewed sense of momentum and the high-velocity energy of a powerhouse startup.

As a leading U.S. ordering and delivery marketplace, we feature over 415,000 merchants in more than 4,000 cities, creating the ultimate food experience by elevating online ordering through innovative restaurant technology, easy-to-use platforms, and an improved delivery experience. We are constantly finding new ways to innovate—from integrated grocery delivery with groceries powered by Instacart to exclusive loyalty programs. Join our team, based out of New York City and Chicago, and help us give our diners the exceptional value they deserve.

About The Opportunity At Grubhub, we treat Data as a Product: a valuable asset and a critical part of how we make decisions. The mission of the Grubhub Data Platform team is to democratize data and to provide a cost-efficient, observable and reliable data platform. That platform lets teams move faster while using data safely to generate actionable insights and product features.

We are looking for a Staff Data Engineer to provide technical leadership across the core data systems and domain data products that power Grubhub's business. This is a hands-on technical leadership role. You will own the architecture of multiple connected pipelines and data products, and you will be accountable for how they fit together, not only for any single pipeline. You will set technical direction alongside other staff engineers, product managers and platform partners.

You will raise the bar on how the organization builds, validates and operates data, and you will mentor the engineers around you through design reviews, code reviews and direct feedback.

The Impact You Will Make Duties will include, but are not limited to:

Own the architecture of critical data pipelines and domain data products end to end (ingestion, transformation, modeling and serving), and make the cross-system design calls.

Set technical direction and standards for data engineering across multiple teams: data modeling, CI/CD automated testing, data validation, data observability, SLOs for tier-1 datasets.

Write performant, concise and secure code on the most complex and business-critical problems, and lead design and code reviews beyond your own team.

Partner with product, analytics and platform teams to standardize metrics and publish trusted golden datasets for reporting, experimentation and ad-hoc analysis.

Proactively find and manage technical debt, cost inefficiency and reliability risk across the data stack before they become urgent.

Evaluate new technologies and architectural patterns rigorously: adopt what actually fits our scale and needs, and say no to what does not.

Mentor senior and mid-level engineers, take part in hiring, and grow the team's technical depth so that no critical system depends on a single person.

Translate technical trade-offs into business terms for stakeholders up to leadership, and document design rationale clearly enough that decisions outlive the people who made them.

Educate others and promote data engineering best practices to build a strong data culture across the engineering organization.

What You Bring to the Table Bachelor's Degree in a science, programming or engineering related field, or equivalent experience6+ years of experience in data engineering, with a strong foundation in…