Data Engineering Leader for Scalable Data Solutions
6 days ago
At Grubhub, we're revolutionizing the way people connect with their favorite restaurants. As a leading online food ordering and delivery platform, we're committed to innovation and teamwork.
We're looking for a Senior Data Engineer to join our team, focusing on data services, processing frameworks, and domain-based data products. You'll partner with stakeholders to standardize metrics for usage across reporting, experimentation, and ad-hoc analysis. This role offers an opportunity to leverage cutting-edge big data capabilities and collaborate with partner teams to build innovative data solutions.
The Impact You Will Make
- You'll write high-quality, performant code that meets our defined standards, review peer code, and ensure security and scalability of features.
- You'll follow engineering best practices to deliver high-quality ETL code and tests, using CI/CD automated testing, data validations, and data observability.
- You'll work with product feature teams to enable creation of data pipelines and publish golden datasets.
- You'll educate and promote best practices around data engineering, use of data engineering architecture, and new technologies.
- You'll coach and mentor engineers to build a data culture.
What We Offer
- A competitive salary range of $140,000 - $200,000 per year, based on experience.
- A cloud environment like AWS, where you'll run, scale, and deploy data pipelines and microservices.
- Strong computer science fundamentals in data structures, algorithms, and data serialization/table formats like Avro, Parquet, Iceberg/Hudi/Delta.
- Experience with Python or Java/Scala and working on large distributed systems and frameworks like Spark/Flink.
- Passion for event-driven architecture, microservices, data reliability, observability, and data privacy.
About Our Ideal Candidate
- A 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.
- Proven experience working with rapid product development in an agile environment.
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