Software Development Engineer II (Data Engineering)

ABOUT QUINCE

Quince is a destination for builders, creators, innovators, and operators who want to come together and challenge the status quo. Our mission is simple: make really high quality essentials for really low prices, fairly and sustainably. We deliver on that mission through a unique manufacturer-to-consumer (M2C) model eliminating the layers of traditional retail that add cost and result in consumers paying more than they need to. We find, build relationships with, and work directly with the manufacturing partners behind some of the world’s finest products. From there, our teams design smart, efficient operational processes  and build and deploy proprietary technology, AI, and analytics to help us scale fast.

What began with a small assortment of elevated basics has quickly grown into a cross-category brand spanning apparel, accessories, home goods, and more. Today, tens of millions of people across a growing number of countries come – and return – to Quince because they trust us to deliver.

OUR CULTURE

Quince is a culture built for builders by builders. Our way of working starts with a blank sheet of paper. We question conventional thinking, use technology and data to uncover new opportunities, and move quickly to turn ideas into reality. We aren’t interested in replicating how others do retail. We’re building a better way – at a speed and scale unlike anything that’s been done before.

• We dream big and chase the hard problems others shy away from. Rejecting long-held assumptions is part of our company’s DNA.  Where conventional wisdom says you have to choose – soft or durable, speed or rigor, quality or price – we ask why that trade-off has to exist in the first place.
• Our pace is fast and the bar is high because our customers expect a lot from us and we refuse to let them down. We believe the best results come from challenging ourselves, learning from one another, and building on each other’s strengths.
• Here, responsibility is not determined by role, tenure, or seniority. Every team member - no matter their level - has the opportunity to drive our business and shape our trajectory.

If you’re someone who likes to imagine new possibilities and build better systems rather than plug-in to outdated ones, Quince is the place for you.

THE ROLE

Software Development Engineer II – Data Engineering

We’re looking for a Software Development Engineer II (Data Engineering) to join our growing Data Engineering team. In this role, you will design, build, and operate scalable data platforms, pipelines, and services that power analytics, engineering, and Data Science across Quince.

You will work closely with engineering and business stakeholders to translate complex data requirements into reliable and scalable technical solutions. You will take ownership of data engineering modules end-to-end, contribute to system design and architecture, and continuously improve the performance, reliability, and scalability of our data infrastructure.

This role is ideal for an engineer who enjoys solving complex data problems, working with large-scale distributed systems, and spending the majority of their time building and improving production systems.

Responsibilities

Data Engineering & Platform Development

• Design, build, and maintain scalable data pipelines, platforms, tools, and services.
• Develop cloud-based data engineering solutions that support analytics, engineering, and Data Science use cases.
• Build reliable data ingestion, transformation, processing, and extraction workflows across multiple data sources.
• Own modules within the Data Engineering platform from design and implementation through production operations.
• Develop clean, maintainable, testable, and well-documented code following engineering best practices.

System Design & Scalability

• Own low-level system design and implementation for data engineering components.
• Design highly available and fault-tolerant services for data ingestion, processing, and extraction.
• Optimize data systems for performance, scalability, reliability, and read/write latency.
• Apply distributed computing principles to build systems that can efficiently process large and complex datasets.
• Identify bottlenecks and continuously improve the efficiency of data pipelines and services.

Big Data & Distributed Systems

• Work with large-scale data processing technologies such as Hadoop, Spark, Hive, and Presto. …