Software Engineer III - Data Engineering - Customer Tech

As a Senior Data Engineer, you will be part of the Data Engineering team, with this role being inherently multi-functional, and the ideal candidate will work with Client Experience, Data Scientists, Analysts, and Application teams across the company, as well as all other Data Engineering squads at Wayfair. We are looking for someone with a love for data, handling ambiguous requirements, and the ability to iterate quickly. Successful candidates will have strong engineering skills and communication and a belief that data-driven processes lead to phenomenal products.

Responsibilities:

• Drive the end-to-end design and evolution of data models, pipelines, and data products for Search, Recommendations, and Marketing operating at scale and influencing multiple domains.
• Own the development of scalable, batch-first data systems that ingest and transform structured, semi-structured, and unstructured data into high-quality, AI-consumable representations (e. g., curated datasets, embeddings-ready data, feature layers, and semantic abstractions).
• Design and build high-fidelity data pipelines optimized for reliability, cost, and performance, with a focus on efficient retrieval, data freshness, and contextual usability for downstream systems.
• Build and maintain robust data models, including fact/dimension models, SCDs, CDC pipelines, and data versioning strategies to ensure consistency and reproducibility.
• Contribute to the development of a unified semantic layer that bridges raw data and AI/ML systems, enabling standardized metrics, reusable data definitions, and improved data access patterns.
• Work with metadata, lineage, and data discovery frameworks to improve transparency, governance, and usability of data across the organization.
• Partner cross-functionally with Product, Analytics, and Data Science to translate ambiguous business problems into well-defined data solutions and reusable data assets.
• Defined and enforced data modeling standards, data contracts, and quality frameworks across teams.
• Drive improvements in data observability, SLA/SLO adherence, and pipeline reliability across the ecosystem.
• Make architectural decisions and trade-offs across storage, compute, and orchestration layers within a GCP-native stack.

Requirements:

• Bachelor's/Master's degree in Computer Science or a related field, or equivalent experience.
• ~12 years of experience in Data Engineering, building and owning large-scale data platforms and datasets at scale.
• Deep expertise in data modeling (dimensional models, SCDs, wide tables), along with a strong understanding of CDC, data versioning, and incremental processing strategies.
• Strong experience designing and building data pipelines on Google Cloud Platform using Google BigQuery and Google Cloud Storage.
• Advanced proficiency in SQL and Python, with a strong focus on query optimization, cost efficiency, and large-scale data processing.
• Solid understanding of data lakehouse principles, storage formats (e. g., Parquet), partitioning, clustering, and performance tuning.
• Experience building reliable, production-grade data systems, including ingestion, transformation, and serving layers and strong data quality and observability practices (SLAs/SLOs).
• Experience with event-driven and streaming architectures (e. g., Pub/Sub, Kafka), with the ability to apply them pragmatically alongside where needed.
• Experience enabling AI/ML use cases from a data perspective, including preparing high-quality datasets for model consumption, supporting feature engineering workflows, and building semantic or context-rich data layers that improve downstream usability.
• Familiarity with concepts such as metadata management, data lineage, and data discovery and their role in improving trust and usability of data platforms.
• Proven ability to translate ambiguous business requirements into scalable data models and systems, especially in domains like search, recommendations, or marketing analytics.
• Demonstrated ownership of large problem spaces end-to-end, with the ability to influence architecture, drive standards, and align multiple teams.
• Experience providing technical leadership and mentorship, setting best practices, and raising the bar for engineering quality.
• Strong communication skills with the ability to articulate technical decisions, trade-offs, and system designs to diverse stakeholders.

Good to have:

• Understanding of NoSQL Database exposure.
• Familiarity with BI tools like Looker, Tableau, AtScale, PowerBI, or any similar tools.

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.

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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 dataprotectionofficer@wayfair.com.