Data Engineer / Senior Data Engineer
ArcadiaFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Must-have skills include experience in big data technologies like Apache Hadoop/Spark/Hive/Presto, message queues such as Apache Kafka/Kinesis/RabbitMQ, proficiency in Python, Java or Scala, building highly available REST services for data ingestion/extraction, data warehousing fundamentals, SQL exposure, and integrating data across multiple sources.
Expect an 80% time split on hands-on programming, execution, and research, with 20% on stakeholder management, depending on experience.
This information is not specified in the job description.
This information is not specified in the job description.
You'll work with a world-class team from Stanford GSB, Google, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike, etc., in a retail and technology company focused on customer-first values, high quality, and innovation.
Direct-to-consumer e-commerce for fashion and home essentials
Quince offers high-quality fashion and lifestyle products through its online retail platform. The company sources its products directly from manufacturers worldwide, which allows it to provide premium items at lower prices compared to traditional retail stores. Quince's product range includes clothing like dresses and blouses, as well as home essentials such as bed sheets. This direct-to-consumer model appeals to a diverse customer base, from those seeking stylish clothing to those in need of quality home goods. Quince differentiates itself from competitors by eliminating middlemen, ensuring affordability without compromising on quality. The company's goal is to make luxury accessible to everyone while fostering a community of satisfied customers who share their experiences on social media.