Staff Data Engineer
Core
Building the foundational data engineering stack and scalable data pipelines to power a B2C marketplace connecting chefs with consumers.
Role type
Staff Data Engineer (Infrastructure & Platform)
Builds
Resilient batch and real-time data pipelines, distributed data platforms, and production-ready data solutions.
Domain
Food technology / B2C marketplace
Deliverable
production ML models | infrastructure
Required skills
Java, Scala, Python, complex SQL, distributed data platforms (Snowflake, Spark, Flink, Kafka), real-time and batch pipeline design, data modeling, system optimization, coaching/mentoring
Preferred skills
Cloud-native technologies (Kubernetes, containers), data architecture design for experimentation, rapid growth startup experience
Technologies
Snowflake, Spark, Flink, Kafka, Kubernetes, containers
Responsibilities
Design and build net new resilient batch and real-time data pipelines; Design and build data pipelines facilitating migration from disparate data models; Champion data reliability and performance by implementing proactive monitoring; Optimize data models to support fast decision-making; Partner with product, engineering, and data science teams to translate business needs into scalable solutions; Shape the future of data engineering by defining the long-term roadmap and setting best practices; Coach and level up teammates
Seniority
Staff, hands-on IC with mentorship
