Quince is seeking a Staff Data Engineer to design and build a next-generation data platform, emphasizing hands-on architectural decisions and engineering standards. The ideal candidate will have extensive experience in data engineering with a focus on AWS, Spark, Python, and SQL, and will play a key role in mentoring other engineers
Job Summary
Quince is a tech company disrupting the retail industry by putting AI, analytics and automation at the center of everything they do.
This role involves architecting and building the foundational data platform that powers analytics, experimentation, and data products from the ground up.
The successful candidate will partner with stakeholders across Product, Analytics, and Engineering to translate business needs into robust data solutions.
Matching Summary
Match Score: 85
Quince is seeking a Staff Data Engineer to design and build a next-generation data platform, emphasizing hands-on architectural decisions and engineering standards. The ideal candidate will have extensive experience in data engineering with a focus on AWS, Spark, Python, and SQL, and will play a key role in mentoring other engineers.
Skills & Requirements
Must-have
7+ years data engineering experience
Strong hands-on Spark Python SQL
Large-scale AWS cloud infrastructure
Data modeling distributed systems
Lead technical initiatives architecture
Nice-to-have
Experience with Trino query engines
Proficiency in dbt transformations
Lakehouse architectures open table formats
Kubernetes Amazon EKS deployment
Apache Kafka streaming experience
Key Requirements
7+ years experience in data or platform engineering
Proven ability to lead technical initiatives
Comfortable working in ambiguous early-stage environments