Sr Data Engineer

Grubhub; United States; Hybrid; USD 187,650 - 229,350; Full time

Benefits offered by this job

Equity and 401K

Medical, dental, and vision plans

Job summary

A leading online food ordering service is seeking a data-focused Senior Engineer to join their Data Platform team. This role will involve writing high-quality code, ensuring data integrity, and collaborating with stakeholders to create impactful data solutions. The ideal candidate will have a Bachelor’s degree and over 5 years of data engineering experience, particularly in distributed systems and cloud environments. The position offers a competitive salary with benefits. Join us to innovate and grow in a fun, collaborative environment.

Qualifications

• 5+ years of experience in engineering, especially in distributed systems.
• Strong computer science fundamentals in data structures and algorithms.
• Experience with data serialization formats is essential.

Responsibilities

• Write performant code and ensure security and scalability.
• Deliver high-quality ETL code and tests.
• Educate on data engineering best practices.

Skills

Distributed systems

Data engineering

Cloud environments (AWS)

Python or Java/Scala

Event-driven architecture

Education

Bachelor's Degree in a science, programming or engineering related field

Tools

Spark/Flink

Avro/Parquet/Iceberg/Hudi/Delta

Job description

Grubhub, part of Wonder, is all about connecting hungry diners with our network of over 375,000 merchants nationwide. Innovative technology, user‑friendly platforms and streamlined delivery capabilities set us apart and make us an industry leader in the world of online food ordering. When you join our team, you become part of a community that works together to innovate, solve problems, grow, work hard and have a ton of fun in the process!

About the Role

At Grubhub, we treat Data as a Product – a valuable asset and a critical piece of our decision‑making process. The mission of the Grubhub Data Platform team is to democratize data and provide a cost‑efficient, observable and reliable data platform that empowers and enables the teams to accelerate their ability to safely use data to generate actionable insights and product features.

We are looking for a data‑focused Senior Engineer to join our Data Platform team to own and provide technical expertise and leadership around core data systems ranging from data services to processing frameworks to generate and build domain‑based data products. You will partner with stakeholders to standardize metrics for usage across reporting, experimentation and ad‑hoc analysis. This is an opportunity to use cutting‑edge big data capabilities of Grubhub's Data Platform and to collaborate with our partner teams to build innovative data solutions, helping Grubhub to derive value from data at a rapid pace.

The Impact You Will Make

• You'll write performant and concise code to meet the defined standards here at GrubHub, review the code of peers, and ensure security and scalability of the features you work on.
• Follow engineering best practices to deliver high quality ETL code and tests. Use CI/CD automated testing, data validations and data observability to ensure high quality data.
• Work with product feature teams enabling them to create data pipelines and publish golden datasets.
• Educate and promote best practices around data engineering, use of data engineering architecture and new technologies.
• Coach and mentor engineers across the engineering team to build a data culture.

What You Bring to the Table

• Bachelor's Degree in a science, programming or engineering related field
• 5+ years of experience in engineering especially distributed systems, software engineering and data engineering.
• Experience in a cloud environment like AWS, running, scaling and deploying data pipelines and microservices in the cloud.
• Strong computer science fundamentals in data structures, algorithms
• Experience with data serialization/table formats such as Avro, Parquet, Iceberg/Hudi/Delta.
• Experience with Python or Java/Scala and working on large distributed systems and frameworks such as Spark/ Flink with high uptimes (4x9’s uptime etc.).
• Passion for event‑driven architecture, microservices, data reliability, observability and data privacy.
• Proven experience working with rapid product development in an agile environment is preferred.
• Pragmatic without compromising on software quality and standards.

Got These? Even Better

• Exposure to Customer Engagement/Customer Data Platforms and building data transfer pipelines between a data lake and third‑party platforms.
• Familiarity with marketing campaign life cycle and experience building pipelines to automate campaign results analysis.
• Exposure to concepts of Metric or Semantic layer, related tooling (dbt/looker) and productionized solutions.

New York: $208,500 per year

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.

We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.

A Final Note

At Wonder, we believe that in order to build the best team, we must hire using an objective lens. We are committed to fair hiring practices where we hire people for their potential and advocate for diversity, equity, and inclusion. As such, we do not discriminate or make decisions based on your 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. If you have a disability, please let your recruiter know how we can make your interview process work best for you.

We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy.

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Seniority level

Mid‑Senior level

Employment type

Full‑time

Industries

Technology, Information and Internet