Staff Data Engineer

Grubhub Holdings Inc.; United States; On-site; USD 209,000 - 225,000; Full time

Benefits offered by this job

Competitive compensation with equity

401(k)

Medical, dental and vision plans

Paid time off for exempt employees

Paid vacation

Paid sick leave

Parental leave

Discounted meals across Wonder brands

Job summary

Grubhub is seeking a Staff Data Engineer to provide technical leadership across core data systems and domain data products powering the business.

You will own architecture of multiple connected pipelines, mentor engineers, and set technical direction with product managers and platform partners. This role demands strong data modeling, SQL, and cloud experience in a fast-paced environment.

Qualifications

• Bachelor's degree in a science, programming or engineering field or equivalent experience.
• 6+ years of experience in data engineering with distributed systems knowledge.
• Deep expertise in dimensional data modeling for analytics at scale.
• Advanced SQL and hands-on with Spark, Hive, Trino and Flink.
• Multi-cloud data platforms across AWS and GCP; data pipelines and warehouses experience.
• Experience building batch and streaming pipelines with Airflow or Azkaban.
• Strong data quality practices: CI/CD, data validation and observability.
• Solid software fundamentals: Python; Java/Scala a plus; clean, tested code.
• Demonstrated technical leadership and ability to influence across teams.
• Clear communication with technical and executive stakeholders.
• Finance data pipelines, reconciliation and SOX compliance experience (nice to have).

Responsibilities

• Own architecture of critical data pipelines end-to-end and cross-system design decisions.
• Set data engineering standards across multiple teams: modeling, CI/CD, observability and data quality.
• Write performant, secure code and lead reviews beyond your team.
• Partner with product, analytics and platform teams to publish trusted datasets for reporting and analysis.
• Identify and mitigate technical debt, cost inefficiency and reliability risks across the stack.
• Evaluate new technologies and patterns to fit Grubhub's scale and needs.
• Mentor senior and mid-level engineers and participate in hiring to grow depth.

Skills

Dimensional data modeling

SQL

Spark

Hive

Trino

Flink

AWS

GCP

Airflow

Azkaban

Python

Java/Scala

Leadership

Communication

Finance data pipelines

SOX compliance

Education

Bachelor's degree in science/engineering

Tools

BigQuery

S3

EMR

Dataproc

Airflow

Job description

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: 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.

Impact

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 experience 6+ years of experience in data engineering, with a strong foundation in distributed systems and software engineering.
• Deep expertise in dimensional data modeling (star/snowflake schemas, fact and dimension design, slowly changing dimensions) and in designing reusable, well-governed data products for analytics at scale.
• Advanced SQL and hands-on experience with large-scale distributed processing frameworks such as Spark (PySpark/Spark SQL), Hive, Trino and Flink, including performance tuning and cost optimization of large workloads with high uptimes.
• Multi-cloud data platform experience across AWS (e.g. S3, EMR) and GCP (e.g. BigQuery, GCS, Dataproc). Experience migrating data pipelines and warehouses to GCP/BigQuery is highly valued.
• Experience building batch and streaming pipelines with workflow orchestration tools (e.g. Airflow, Azkaban), and a passion for event-driven architecture.
• Strong data quality engineering practices: CI/CD automated testing, data validation, data observability and data privacy.
• Solid software engineering fundamentals: Python (Java/Scala a plus), data structures and algorithms, clean and testable code, and code reviews.
• Demonstrated technical leadership at staff scope: setting technical direction across multiple teams or systems, driving architecture reviews beyond your own team, and influencing decisions without direct authority.
• You communicate clearly with both technical and non-technical audiences, up to and including executive stakeholders.
• You are pragmatic without compromising on software quality and standards.
• Got These? Even Better Finance and accounting domain experience: pipelines for orders, payments and accounting, built in partnership with FP&A, Accounting to define and certify financial metrics (e.g. GMV, net revenue). Reconciliation pipelines (order to payment to ledger) that support month-end close, revenue and accruals.
• SOX-compliant data pipelines: change management, access controls, data lineage and auditability.

Benefits

New York Base Salary: $208,500 - $225,000.

Illinois Base Salary: $187,500 - $202,500.

Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience.

• Competitive compensation package with equity and a 401(k).
• Choice of medical, dental and vision plans.
• Company paid short and long term disability coverage.
• Paid time off including flexible time off for exempt employees.
• Paid vacation for non-exempt employees.
• Paid sick leave in compliance with applicable law.
• Paid parental leave.
• Discounted meals and exclusive perks across the Wonder family of brands.
• Eligibility, effective dates, and available plan options vary by employment classification and location.

To learn more about benefits for this role, visit our Careers page here.

Final Note

At Wonder, we build the best teams by hiring with an objective lens — evaluating people for their potential while championing diversity, equity and inclusion. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. As part of our commitment to fair and compliant hiring practices, Wonder participates in the federal government's E-Verify program to confirm employment eligibility. If you need an accommodation during the interview process, please let your recruiter know. We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy.

Join Our Team

At Grubhub, we champion restaurants from coast to coast. Restaurants sit at the heart of communities. It's our mission to strengthen their roots, deepen their connections, and increase the positive impact they have on people and society. Grubhub, part of Wonder, delivers the best local, authentic cuisine right to diners' doors, and new customers and billions in revenue to local businesses. Featuring over hundreds of thousands of merchants in over 4,000 cities nationwide, our innovative technology, user-friendly platforms, and streamlined delivery capabilities have made us an industry leader in the world of online food ordering. Since we opened our doors in 2004, Grubhub has been opening doors all across the country. Bakery doors in Hyde Park, jibarito joint doors in Queens, and doors of opportunity all across the country. Join our team and help us open more.