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Location
Hybrid (Bengaluru, India)
Seniority
Middle · 3+ years exp
Visa
Sponsors visas in United States; no register of this country names it
Employment
Full-Time

First seen by Alion on Nov 12, 2026.

Overview
Company
Impact
Profile match
Wayfair is an American online retailer of furniture, home decor, housewares and home improvement goods. It sells products from thousands of suppliers through its websites and brands including Wayfair, AllModern, Birch Lane, Joss & Main and Perigold. Founded in 2002 by Niraj Shah and Steve Conine, the company is listed on the New York Stock Exchange and is headquartered in Boston, Massachusetts, United States, with a technology center in Bengaluru, India.
Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements.

Who We Are

Wayfair helps customers find the right products for their homes. Our engineering teams build the systems and experiences that make each customer's shopping journey personal across Wayfair's digital storefronts.

The Customer Data Platform team builds and runs the systems behind Wayfair's single view of the customer. We resolve customer identity across devices and channels, combine first-party and third-party data into rich customer profiles, and deliver those profiles and insights at scale. They power personalisation, recommendations, marketing and analytics across the company. We work with software engineering, product, data science and analytics teams to build reliable, privacy-conscious data products.

What You'll Do

  • Build and maintain backend services and high-throughput, low-latency APIs that serve customer profiles, attributes and insights to personalisation, recommendation and marketing systems.
  • Design and build well-tested batch and real-time data pipelines that collect, enrich and maintain customer data profiles from many sources.
  • Develop and improve identity resolution systems that link customer interactions across devices, sessions and channels into a unified customer view.
  • Partner with data scientists to put ML-driven customer features into production, such as embeddings, affinity and propensity scores, and segments, and make them available to downstream systems.
  • Own scoped technical problems from design through implementation, testing, deployment and ongoing maintenance.
  • Make data more reliable, fresh, high-quality and observable. Investigate production and data issues and follow through on fixes.
  • Help build privacy, consent and data-governance practices into how customer data is collected, stored and used.
  • Contribute to technical designs, code reviews, documentation and operational practices.
  • Use metrics, experiments and feedback from partner teams to find ways to improve the platform's quality and impact.

What You'll Need

  • A bachelor's degree in Computer Science, Computer Engineering, or a related field, or an equivalent combination of education and experience.
  • 3–5 years of professional software development experience.
  • Strong proficiency in at least one backend programming language, such as Java or Python.
  • Experience building or maintaining APIs, services or distributed applications that handle large volumes of data.
  • A solid foundation in data structures, algorithms, software design and automated testing.
  • Experience with relational and non-relational databases, data modelling and writing maintainable data-access code.
  • Familiarity with production software practices, including version control, CI/CD, monitoring and debugging.
  • Clear communication skills and the ability to work well with both technical and non-technical teams.

Preferred Qualifications

  • Experience with customer data platforms, identity resolution, entity matching or customer 360 / master data systems.
  • Experience building large-scale data pipelines with tools such as Kafka, Spark, Dataflow, Airflow or BigQuery.
  • Familiarity with ML-powered personalisation, such as feature stores, customer embeddings, segmentation or recommendation systems.
  • Understanding of data privacy and consent requirements (for example GDPR or CCPA) and of how to handle PII responsibly.
  • Experience with cloud platforms, containers and orchestration technologies such as GCP, Docker or Kubernetes.
  • Experience supporting production services, including taking part in an on-call rotation.

Assistance For Individuals With Disabilities

Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.

Need Technical Assistance

For more information about applying for a career at wayfair, visit our FAQ page here.

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 (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at [HIDDEN TEXT].

The above base pay range may vary depending on location, job-related knowledge, skills and experience. For internal candidates, compensation determinations will be made based on your current position / level, your location, and the new position according to Wayfair's internal mobility policy. As you move through the internal interview process, your recruiter will be able to provide additional details regarding your specific compensation. Please note, the terms of internal offers, including the salary offered, are not negotiable.
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