We inspire purpose-filled living that brings joy to the modern home. With a team of more than 8,000 associates spanning 130 store and distribution locations across the U.S. and Canada, we achieve together, drive results and innovate to inspire. Drawn together by a shared passion for our customers and a spirit of fun, we deliver high-quality home furnishings that are expertly designed, responsibly sourced and bring beauty and function to people’s homes. From the day we opened our first store in Chicago in 1962 to the digital innovations that engage millions of customers today, our iconic brand is nearly 60 years in the making—and our story is still unfolding.

 

We are seeking a Senior Data Engineer to serve as a technical lead within our Google Cloud-native data ecosystem. In this role, you will be responsible for the end-to-end engineering of scalable, high-performance data pipelines that power our national retail data platform using a Medallion architecture (Bronze through Platinum).
Our Engineering team functions as the core technical provider for the organization. You will collaborate closely with separate Governance, Data Science, Data Modeling, and Data Insight teams to turn their requirements and models into robust, production-grade automated pipelines. Your focus is on the "how"—building the high-integrity plumbing that enables these specialized teams to perform their functions while managing complex interdependencies with other technical technology teams through enterprise orchestration.

 

• This position is fully remote

• This role is an Individual Contributor position

A day in the life as a Senior Data Engineer...

• Lead the technical construction of complex data pipelines. You will be responsible for the engineering implementation of SCD (Slowly Changing Dimension) methodologies and data movement across retail domains as defined by the Data Modeling team

• Manage and maintain enterprise-level orchestration outside of the Google Cloud Platform (e.g., Tidal Automation). You will ensure that data pipelines are synchronized with broader organizational workflows, managing critical interdependencies with other technical teams and legacy systems

• Act as the primary engineering point of contact for external teams. You will build and optimize the pipelines required by Data Science for model training/deployment and by Data Insight for reporting, ensuring their technical requirements are met with high availability

• Build and maintain high-velocity streaming and near-time pathways using Google Dataflow and Confluent Kafka to support real-time operational needs

• Mastery of Dataform (SQLX) to build orchestrated, environment-agnostic transformations. You will ensure all models leverage JavaScript configuration and ref() functions to maintain strict code portability across our 16-project grid

• Partner with the Governance team to implement "Privacy by Design" technical controls, including CCPA/GDPR compliance workflows, encrypted hashing, and integration with centralized Google Dataplex registries

• Enforce mandatory resource labeling (env, domain, layer) across all BigQuery jobs and GCS buckets to ensure transparent cost attribution for the various teams we support

• Lead the team’s Git-flow process via BitBucket. Manage code through feature branches and UAT release collection for deployment into our 16-project production environment

• Perform high-quality code reviews and mentor junior engineers, ensuring the team’s output meets the rigorous engineering standards required to support our downstream partners
   

What you'll bring to the table...

• 5+ years of dedicated Data Engineering experience, with at least 2 years in a lead or senior capacity

• Deep proficiency in BigQuery, Google Dataflow, Google Cloud Storage, and Dataform.

• Expert-level Python and SQL are mandatory. Python is our primary language for all custom processing and orchestration

• Proficiency with BitBucket (Git-flow), Confluent Kafka, Dataplex, and Enterprise Orchestration tools (e.g., Tidal)

• Understanding of PII and how to protect both customer and company data

• Bachelor’s degree in Computer Science, Engineering, or a related technical field 

We'd love to hear from you if you have...

• Experience in a "Data Engineering as a Service" environment, building pipelines to satisfy requirements from Data Science or Analytics stakeholders

• Experience working with high-volume retail data (e.g., e-commerce, supply chain, or loyalty)

• Familiarity with Java for specific edge-case data processing tasks is a plus

• Strong understanding of cloud cost optimization and resource attribution

 

Euromarket Designs, Inc., which does business as Crate and Barrel and CB2, will be referred to as “the Company”. The Company is deeply committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please contact the location you are applying to here and ask to speak with a manager regarding the nature of your request.

The Company is an equal opportunity employer; applicants are considered for all positions without regard to race, color, religious creed, sex, national origin, citizenship status, age, physical or mental disability, sexual orientation, gender identity, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law.

The Company participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the US.

State / City Compliance: The Company will consider for employment qualified applicants with criminal history, including arrest and conviction records, in accordance with the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.