Sr. Data Engineer

About The Opportunity
We're all about connecting hungry diners with our network of over 300,000 restaurants 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!
Why Work For Us
Grubhub is a place where authentically fun culture meets innovation and teamwork. We believe in empowering people and opening doors for new opportunities. If you're looking for a place that values strong relationships, embraces diverse ideas-all while having fun together-Grubhub is the place for you!
About The Role
Data drives everything at Grubhub, from training our state of the art search and recommendation systems, our real-time monitoring abilities, experimentation and readouts, and augmenting our data lakes for uses outside of engineering to say the least. We are looking for an innately curious, business-minded, results-oriented Data Engineer to work in our Discovery and Ads teams. As a member of this highly collaborative team you will partner with other data engineers, data scientists, engineering, and product to deliver new features and write data pipelines not only in Ads, but across the Top of the Diner funnel as a whole. You will be responsible for creating metrics to validate the performance and efficiency of data pipelines, proposing techniques to enhance our current systems, and designing data validation and quality checks to ensure the accuracy and reliability of our data. Additionally, you will drive best practices in data engineering, guiding the evolution of scalable and resilient data systems. Your responsibilities will also include creating comprehensive documentation accessible to both technical and non-technical audiences, mentoring junior data engineers, automating data pipeline monitoring and alerts, and advising on the best data processing strategies to align with business objectives.
Our team practices end to end project ownership and our work focuses heavily on personalized recommendation and classification from content and clickstream. Deep neural networks, transfer learning from pretrained large scale models, classic regressions, fine tuning, and large language models all have a place in our daily lexicon.
The Impact You will Make

• Design, build, and maintain data pipelines that efficiently move and transform data between production systems and data lakes, ensuring data integrity and availability.
• Collaborate closely with the Ads team to develop tailored data solutions that meet the specific needs of ad-related analytics and reporting, with an eye toward expanding these solutions to the broader platform.
• Optimize data storage and processing using formats like Parquet and other columnar storage solutions, ensuring that our data architecture is both performant and cost-effective.
• Leverage your expertise in Scala Spark, PySpark, or similar technologies to write scalable data processing jobs that handle large volumes of data with high efficiency.
• Work with AWS cloud services to deploy, manage, and monitor data pipelines, ensuring that they are resilient, secure, and scalable to meet the growing demands of our business.
• Collaborate with data scientists, analysts, and other engineers to understand data requirements, troubleshoot issues, and continuously improve our data infrastructure.
• Provide technical leadership and mentorship to junior engineers, promoting best practices in data engineering and helping to build a culture of continuous learning and improvement.

What You Bring To The Table

• Bachelor's or Master's Degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering, with a strong focus on building and optimizing data pipelines in a cloud-based environment, preferably AWS.
• Proficiency in Scala Spark, PySpark, or similar data processing frameworks, with a proven ability to write efficient, scalable data processing jobs.
• Familiarity with data storage formats like Parquet, and experience with columnar storage solutions and optimization techniques.
• Hands-on experience with AWS services, such as S3, Glue, EMR, Redshift, or similar tools, to build and manage large-scale data processing workflows.
• Strong understanding of data warehousing concepts, ETL/ELT processes, and data modeling techniques.
• Excellent problem-solving skills, with the ability to troubleshoot complex data pipeline issues and ensure data quality across the system.
• Strong communication and collaboration skills, with experience working in cross-functional teams to deliver data solutions that meet business needs.
• A commitment to staying up-to-date with the latest trends and best practices in data engineering, with a passion for continuous improvement and innovation.

The base salary ranges for this position are below. The ranges provided exclude other forms of compensation such as equity and bonus.
New York: $164,500 - $205,500 base salary range
Grubhub 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. In addition to the base salary, the role might also come with equity and other pay incentives as part of the full compensation package.
And Of Course, Perks!

• Flexible PTO. Grubhub employees enjoy a generous amount of time to recharge.
• Health and Wellness. Excellent medical, dental and vision benefits, 401k matching, employee network groups and paid parental leave are just a few of our programs to support your overall well-being.
• Compensation. You'll receive a great compensation package with eligibility for generous incentives, commission, or RSUs (role-specific).
• Free Meals. Our employees get a weekly Grubhub credit to enjoy and support local restaurants.
• Social Impact. At Grubhub we believe in giving back through programs like the Grubhub Community Fund . Employees are also given paid time off each year to support the causes that are important to them.

Grubhub is an equal opportunity employer. We welcome diversity and encourage a workplace that is just as diverse as the customers we serve. We evaluate qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. If you're applying for a job in the U.S. and need a reasonable accommodation for any part of the employment process, please send an email to [email protected] and let us know the nature of your request and contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address.
If you are a resident of the State of California and would like a copy of our CA privacy notice, please email [email protected].