Senior Software Engineer, Data Integration Platform

Boston, MA

Applications have closed

Wayfair Inc.

Shop Wayfair for A Zillion Things Home across all styles and budgets. 5,000 brands of furniture, lighting, cookware, and more. Free Shipping on most items.

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The Data Integration Platform team at Wayfair is responsible for enabling teams by solving their data needs to drive Wayfair’s next $50B+ growth. Our team is looking for a smart, passionate, and curious Senior Software Engineer to help us scale our platform that provides data movement, integration, and processing capabilities to teams and individuals. With the broad set of technologies we are using, the scale at which our systems operate, and the diverse group of stakeholders we serve, you will have the opportunity to grow your skills and be exposed to new people and ideas while playing a significant role in Wayfair’s growth. If you are fascinated by engineering extremely large deployments of high-volume distributed systems, skilled in designing scalable automation, and passionate about efficiently solving user needs through technology, we should talk.

What You’ll Do 

  • Design and implement solutions at scale to complex data problems to empower a global user base of thousands of data consumers, data scientists, engineers, and analysts.
  • Design and implement self-service offerings for highly distributed systems to improve the user experience of various user personas.
  • Proactively identify high-impact problems, implement solutions and deliver incrementally.
  • Own technical and operational standards of the systems, advocating for best practices to ensure uptime/reliability and adherence to Service Level Objectives (SLOs)
  • Regularly provide high-quality design and code reviews and training for new technologies, tools, and patterns for the team.
  • Mentor junior engineers to develop the next generation of Wayfair Technology.
  • Constantly re-evaluate open-source, cloud, and internal solutions to keep up with current industry trends and emerging technologies.
  • Contribute to shared toolings and standards to improve the productivity and quality of the broader Data Platforms org.
What You Have
  • 7+ years of hands-on experience designing and building distributed systems to handle data at scale.
  • Strong Java, C# .NET or Python programming experience
  • Strong understanding of some of the storage and data processing technologies, including Kafka, Apache Beam, Brooklin, Spark, SQL Server, Postgres, and MySQL.
  • Familiarity with at least one of the public cloud platforms (Google Cloud Platform preferred) and their corresponding storage and data processing technologies.
  • Familiarity with Terraform, Puppet, Kubernetes, and Spring Boot.
  • Strong technical acumen to apply first-principles thinking to proposed solutions.
  • Curiosity to explore and learn new technologies and apply the right tools for the job.
  • Excellent communication and team-building skills.
  • Experience mentoring and coaching engineers.

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 Berlin, 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, or genetic information.

Tags: Distributed Systems Engineering GCP Google Cloud Kafka Kubernetes MySQL PostgreSQL Python Spark SQL Terraform

Perks/benefits: Career development

Region: North America
Country: United States
Job stats:  3  1  0
Category: Engineering Jobs

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