À propos de ce poste Software Development Engineer II (Data Engineering) chez Quince
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If you’re someone who likes to imagine new possibilities and build better systems rather than plug-in to outdated ones, Quince is the place for you.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.
- Evaluate, research, and integrate modern data engineering frameworks and technologies as the platform evolves.
- Build and maintain streaming and event-driven data pipelines using technologies such as Kafka, Kinesis, or RabbitMQ.
- Design solutions for processing and integrating data from multiple sources and formats.
Collaboration & Execution
- Partner closely with engineering, analytics, Data Science, and business stakeholders to understand requirements and translate them into scalable technical solutions.
- Work effectively through ambiguity by identifying problems, evaluating trade-offs, and driving solutions to completion.
- Communicate technical decisions and system designs clearly across teams.
- Contribute to code reviews, technical discussions, and engineering standards.
- Spend the majority of your time on hands-on development, technical problem-solving, and research.
Operational Excellence
- Monitor and maintain production data pipelines, services, and workflows.
- Debug and resolve data quality, performance, reliability, and production issues.
- Establish appropriate monitoring and operational practices for critical data systems.
- Continuously improve the reliability, scalability, and operational efficiency of data infrastructure.
Qualifications
Required:
- 4+ years of experience in Data Engineering, Software Engineering, or a related technical field.
- Strong experience with big data technologies such as Hadoop, Spark, Hive, or Presto.
- Experience with streaming and messaging platforms such as Kafka, Kinesis, or RabbitMQ.
- Strong proficiency in at least one programming language such as Python, Java, or Scala.
- Experience building highly available and fault-tolerant services, preferably for data ingestion or data extraction.
- Strong understanding of data warehousing fundamentals and data modelling concepts.
- Strong SQL skills, including experience with technologies such as Spark SQL, HiveQL, T-SQL, or PL/SQL.
- Experience integrating, transforming, and processing data from multiple sources.
- Good understanding of distributed computing and large-scale data processing principles.
- Strong analytical and problem-solving skills with the ability to work with large and complex datasets.
- Experience working with production data systems and troubleshooting performance and reliability issues.
- Ability to work independently while collaborating effectively with cross-functional teams.
Preferred:
- Experience working with cloud-native data services, particularly AWS.
- Experience with MPP data warehouses such as Snowflake or Redshift.
- Strong proficiency with Apache Spark and Apache Kafka.
- Experience with NoSQL databases such as Redis, DynamoDB, or Memcached.
- Experience designing and operating large-scale, highly available data platforms.
- Experience with data quality, monitoring, observability, and production data operations.
- Familiarity with containerization, CI/CD, and modern cloud-native engineering practices.
- Experience working in a high-growth technology, e-commerce, or data-intensive environment.
WHY QUINCE?
Joining Quince means being part of a mission-driven team reshaping retail. You will work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more sustainable, accessible future for customers and partners alike.
EQUAL OPPORTUNITY & HIRING INTEGRITY
Quince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Quince is committed to providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation to complete your application or to perform the essential functions of a role at Quince, please let us know by completing this accommodation form. We review all requests individually and will work with you to determine appropriate accommodations on a case-by-case basis.
Employment is contingent upon successful completion of a background check. Quince will conduct background checks in compliance with applicable federal, state, and local laws.
Security Advisory: Beware of Frauds
At Quince, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Quince emphasizes legitimate recruitment practices. Initial communication is primarily via official Quince email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom—never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.
