Job Title: Senior Data Engineer (San Antonio, Austin and Dallas)- Data Solutions
Company: H-E-B
Location: Austin, TX
Description:
**Responsibilities**
**Data Solutions at H\-E\-B: Powering Innovation Through Data**
 At
 **H\-E\-B** 
 , we’re more than a grocery store—we’re a technology\-driven company on a mission to make the lives of Texans better. Our
 **Data Solutions** 
 team is at the heart of this mission, transforming data into powerful insights that drive smarter decisions, seamless operations, and exceptional customer experiences.
   

  

 With thriving
 **Tech Hubs in San Antonio, Austin, and Dallas** 
 , we’re building the future of retail through cutting\-edge data practices and infrastructure.
   

  

**What We Do**
 Our Data Solutions teams specialize in:
   

  

* Data Modeling \- Creating scalable, intuitive models for analytics and machine learning.
* Data Governance \- Ensuring data quality, security, and compliance.
* Data Pipelines \- Building robust, automated data flows.
* Data Engineering \- Architecting systems for high\-volume, real\-time processing.
* Data Movement \- Enabling secure, performant data transfer across platforms.
* Data Transformation \- Converting raw data into actionable insights.
* Databases \- Managing structured and unstructured data with high availability.
* Data Infrastructure \- Supporting hybrid cloud strategies across private and public environments.


 To thrive as a
 **Senior Data Engineer** 
 at H\-E\-B, you should bring deep technical expertise across modern data engineering tools, platforms, and practices. Here’s what we’re looking for:
   

  

**Data Engineering \& Architecture**
* Expertise in building large\-scale batch and real\-time data pipelines
* Strong understanding of data architecture patterns: data lakes, data warehouses, data mesh
* Experience with data modeling and data integration best practices
* Proficiency in ETL/ELT frameworks and data transformation techniques


**Programming \& Development**
* Advanced skills in Python, SQL, and/or Scala
* Experience with big data processing frameworks like Apache Spark, Flink, or Kafka Streams
* Familiarity with API development and data streaming solutions


**Cloud \& Infrastructure**
* Hands\-on experience with cloud platforms (AWS, Azure, or GCP)
* Knowledge of data infrastructure in hybrid cloud environments (private \+ public)
* Experience with containerization (Docker, Kubernetes) and CI/CD pipelines


**Data Quality \& Governance**
* Strong focus on data validation, quality assurance, and automated testing
* Understanding of data governance, metadata management, and compliance


**Collaboration \& Agile Practices**
* Experience working in Agile/Lean Startup environments
* Ability to collaborate across Product, Data Science, Analytics, and Engineering teams
* Strong communication and data storytelling skills


**Bonus Skills**
* Familiarity with machine learning concepts and model deployment
* Experience with monitoring and observability tools for data systems
* Contributions to open\-source or internal tooling for data engineering


**Join Us**
 At H\-E\-B, you’ll be part of a team that values innovation, collaboration, and impact. Whether you’re working from home or one of our tech hubs, you’ll help shape the future of retail through data.
   

  

**Ready to make your mark?** 
 Join us and help build what’s next.