Overview
On Site
Full Time
Skills
Pricing
IT Management
Collaboration
User Experience
Electronic Commerce
Product Requirements
Software Engineering
Object-Oriented Programming
Java
C#
Python
Computer Science
Computer Engineering
Relational Databases
Domain-driven Design
Test-driven Development
Agile
Analytical Skill
Big Data
Apache Kafka
Apache Spark
NoSQL
Database
Continuous Integration
Continuous Delivery
Docker
Kubernetes
Cloud Computing
Google Cloud
Google Cloud Platform
Amazon Web Services
Microsoft Azure
System Monitoring
Technical Drafting
Data Processing
Creative Problem Solving
SAP BASIS
Privacy
Data Security
Job Details
What You'll Do:
Produce high quality, enterprise grade experiences
Use Java to design processes that consume/produce data and build backend applications to power Wayfair Pricing platforms
Design and implement data processing pipelines utilizing Google Cloud platform technologies.
Provide superior monitoring visibility to technical and operational health of the platform using DataDog
Hone your technical leadership skills as you help grow engineers on your team to develop the next generation of Wayfair engineering
Collaborate with product managers, designers, and engineers to refine product requirements, aligning development efforts with strategic business goals.
Uphold high quality standards, advocating for best practices and leading code reviews to maintain excellence in development.
Explore and implement new technologies and frameworks to enhance platform functionality and user experience.
Use ecommerce business knowledge to convert the product requirements into a technical solution.
We Are a Match Because You Have:
6+ years of experience in backend software engineering using object oriented language
Proficient in Java or C#. Nice to have: Python
Bachelor's degree in Computer Science, Computer Engineering or equivalent combination of education and experience
Experience working with relational and non-relational databases
Experience working with event-driven architectures, DDD, and TDD
Experience and desire to work in an agile environment
Analytical mindset and passion for solving business problems with technology
Experience in Big Data technologies like Apache Kafka/Apache spark/Nosql databases
Preferred experience in the CI/CD tools/platforms like Buildkite/Docker/Kubernetes.
Experience with Cloud Native architecture platforms like Google Cloud, AWS, or Azure.
Experience in system monitoring using tools like DataDog etc.
Experience in development and technical design of backend applications and data processing pipelines from start to finish
Experience and deep understanding of atomic design (reusable components)
About Wayfair Inc.
Wayfair is one of the world's largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we're reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you're looking for rapid growth, constant learning, and dynamic challenges, then you'll find that amazing career opportunities are knocking.
No matter who you are, Wayfair is a place you can call home. We're a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair - and world - for all. Every voice, every perspective matters. That's why we're proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.
Your personal data is processed in accordance with our Candidate Privacy Notice ( If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at
Produce high quality, enterprise grade experiences
Use Java to design processes that consume/produce data and build backend applications to power Wayfair Pricing platforms
Design and implement data processing pipelines utilizing Google Cloud platform technologies.
Provide superior monitoring visibility to technical and operational health of the platform using DataDog
Hone your technical leadership skills as you help grow engineers on your team to develop the next generation of Wayfair engineering
Collaborate with product managers, designers, and engineers to refine product requirements, aligning development efforts with strategic business goals.
Uphold high quality standards, advocating for best practices and leading code reviews to maintain excellence in development.
Explore and implement new technologies and frameworks to enhance platform functionality and user experience.
Use ecommerce business knowledge to convert the product requirements into a technical solution.
We Are a Match Because You Have:
6+ years of experience in backend software engineering using object oriented language
Proficient in Java or C#. Nice to have: Python
Bachelor's degree in Computer Science, Computer Engineering or equivalent combination of education and experience
Experience working with relational and non-relational databases
Experience working with event-driven architectures, DDD, and TDD
Experience and desire to work in an agile environment
Analytical mindset and passion for solving business problems with technology
Experience in Big Data technologies like Apache Kafka/Apache spark/Nosql databases
Preferred experience in the CI/CD tools/platforms like Buildkite/Docker/Kubernetes.
Experience with Cloud Native architecture platforms like Google Cloud, AWS, or Azure.
Experience in system monitoring using tools like DataDog etc.
Experience in development and technical design of backend applications and data processing pipelines from start to finish
Experience and deep understanding of atomic design (reusable components)
About Wayfair Inc.
Wayfair is one of the world's largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we're reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you're looking for rapid growth, constant learning, and dynamic challenges, then you'll find that amazing career opportunities are knocking.
No matter who you are, Wayfair is a place you can call home. We're a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair - and world - for all. Every voice, every perspective matters. That's why we're proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.
Your personal data is processed in accordance with our Candidate Privacy Notice ( If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.