Data Engineer - Master Data & DataOps (EDW)

*Build, maintain, and optimize scalable data pipelines on Google Cloud Platform using BigQuery, Dataform or DBT, Dataflow, GCS, Pub/Sub, and Cloud Composer (Airflow).

*Write advanced SQL for large-scale transformations, along with Python for automation, orchestration, and pipeline development.

*Support the master data layer that governs thousands of tables and their metadata, ensuring accuracy, lineage, and consistency at enterprise scale.

*Contribute to the DataOps and DevOps side of the platform through CI/CD pipelines (Jenkins, GitHub), infrastructure-as-code with Terraform, and GitOps-style deployment workflows.

*Implement change management, access controls, and self-service tooling that reduce friction for downstream data builders.

*Apply strong defensive engineering habits such as data validation, monitoring, schema checks, and alerting so pipelines run as reliably on day 100 as they do on day 1.

*Hands-on data engineering experience with a strong foundation in ETL/ELT, data modeling, orchestration, and cloud data ecosystems.

*Expert-level SQL plus solid Python in a data engineering context.

*Real GCP and BigQuery depth, including partitioning, clustering, and performance and cost optimization.

*Experience with Dataform or DBT for modeling and transformation.

*Exposure to CI/CD and infrastructure-as-code, ideally Jenkins, GitHub, and Terraform, for governed, repeatable deployments.

*A systemic thinker who can explain the trade-offs behind engineering decisions and improve on prior work.

Strong communication skills, since you will partner directly with product, engineering, and business stakeholders to gather requirements and validate outcomes. *Familiarity with master data management or metadata governance frameworks such as data contracts and open data standards.

*Experience with AtScale, semantic layers, or OLAP modeling.

*Exposure to Kubernetes, containerized workloads, or internal developer platforms.

*Comfort integrating LLM-based agents or modern AI tooling into data workflows to accelerate automation and improve data quality.

*Retail or e-commerce domain experience, or a background at high-velocity data companies such as Chewy, Amazon, Wayfair, or Netflix

$50/hr to $60/hr. - Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

You will join the Enterprise Data Warehouse organization at a Fortune 100 retailer that runs one of the largest data ecosystems in the world. This centralized data org supports all 12 business units, operates as Google’s largest customer, and manages well over 170 petabytes inside BigQuery. This specific team owns the master data that the rest of the company trusts, so your work becomes the single source of truth that powers reporting, analytics, and AI across the business.