Sr. Data Engineer (GCP/Vertex AI), San Antonio, Tx.

Since **H-E-B Digital Technology’s inception,** we’ve been investing heavily in our customers’ digital experience, reinventing how they find inspiration from food, make food decisions, and ultimately get food into their homes. This is an exciting time to join H-E-B Digital—we’re using the best available technologies to deliver modern, engaging, reliable, and scalable experiences to meet the needs of our growing audience.

**About the Team:**

Our **Data Engineering** team builds and maintains the data and machine learning infrastructure that supports H-E-B’s Customer Experience Engineering organization. We own the data orchestration, feature engineering, and model serving required to deliver personalized search and product recommendations to millions of H-E-B customers every week.

As a **Sr. Data Engineer,** you will work cross-functionally with **Data Science, Machine Learning Engineering, Search Engineering, Product Management, and Customer Experience teams** to translate business objectives into scalable, production-grade technical solutions.

Once you’re eligible, you’ll become an Owner in the company, so we’re looking for commitment, hard work, and focus on quality and Customer service. “Partner owned” means our most important resources—People— drive the innovation, growth, and success that make H-E-B The Greatest Omnichannel Retailing Company.

**Location:**

San Antonio, Tx. (On-site)

**HEART FOR PEOPLE…** you’re willing to facilitate solutions with multiple engineers, provide upward communication, and mentor others?

**HEAD FOR BUSINESS…** you consistently demonstrate and uphold the standards of coding, infrastructure, and process?

**PASSION FOR RESULTS…** you’re capable of you’re capable of high-velocity contributions in multiple technical domains?

What is the work?

• **Search & Personalization Expertise:** Hands-on experience building and supporting personalized online product search, search ranking algorithms, semantic search, and large-scale product recommendation or customer personalization platforms.
• **Cloud & ML Infrastructure:** Proven experience working with **Google Cloud Platform (GCP)**, specifically leveraging **Vertex AI**, **Feature Stores**, and MLOps practices to operationalize machine learning and personalization models in partnership with Data Scientists and ML Engineers.
• **Programming & Data Processing:** Strong proficiency in **Python**, **PySpark**, and **SQL** for large-scale data manipulation and pipeline development.
• **Data Architecture & Streaming:** Deep understanding of modern data lake/Lakehouse architectures, data modeling, ETL/ELT pipelines, and real-time event-driven streaming using **Kafka**.
• **Services & APIs:** Experience designing and building scalable APIs and low-latency data services that power machine learning applications in production.
• **Cross-Functional Collaboration:** A track record of partnering across Product, Data Science, and Engineering teams to turn business objectives into resilient technical solutions.