Overview
H-E-B is one of the largest, independently owned food retailers in the nation operating over 420+ stores throughout Texas and Mexico, with annual sales generating over $34 billion. Described by industry experts as a daring innovator and smart competitor, H-E-B has led the way with creative new concepts, outstanding service and a commitment to diversity in our workforce, workplace and marketplace. H-E-B offers a wealth of career opportunities to our 145,000+ Partners (employees), competitive compensation and benefits program and comprehensive training that lead to successful careers.
Responsibilities
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, how they make food decisions, and how they 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. If you enjoy taking on new challenges, working in a rapidly changing environment, learning new skills, and applying it all to solve large and impactful business problems, we want you as part of our team.
Our Partners thrive The H-E-B Way. In the Staff Engineer, Data job, that means you have a...
HEART FOR PEOPLE... you can serve as technical authority and coordinate work for a group of engineers
HEAD FOR BUSINESS... you make sound, mature technical judgments that result in significant impact
PASSION FOR RESULTS... you can deliver sweeping technical initiatives with minimal guidance
What You'll Do
Work with HEB Digital teams to provide data solutions for ecommerce, supply chain, store operations, finance, and marketing reporting and analytics platforms
Contribute to existing data platforms and implement new technologies
Develop a deep understanding of HEB's data and become a domain expert
Ensure data is distributed in a timely and accurate manner
Make data discoverable and accessible to business users
Coach and mentor junior engineers in engineering techniques, processes, and new technologies; enable others to succeed
Contribute to overall system design, architecture, security, scalability, reliability, and performance of applications
Identify, scope, and architect solutions for new features while applying sound technical judgment that considers technology alternatives, impact on affected / adjacent systems, and tradeoffs
Get the opportunity to stay ahead of new technologies with an eye to evaluating and potentially incorporating them into your team's architecture
Projects You'll Impact
Warehouse Inventory Management System integration - Build out the streaming architecture for ingesting critical product supply data from a cloud application into our enterprise data lake and enabling advanced analytics and machine learning.
Warehouse capacity analytics - Build out near-time pipelines that integrate data from our massive warehousing operation and feed decisions about optimal inventory levels, warehouse efficiency, and product allocation.
Manufacturing analytics - Build out streaming pipelines to ingest production planning, resource allocation, and machine/IoT data to optimize manufacturing cost, increase production output, and predict production line failures.
Vendor scorecard - Build out a near-time analytics solution to help analysts monitor how well our thousands of vendors are complying with their purchase-order integration contracts with us by measuring product accuracy, shipment notification performance, and error rates.
Who You Are
7+ years of data engineering experience
Proficient with data technologies (e.g. Spark, Kinesis, Kafka, Airflow, Oracle, PostgreSQL, Redshift, Presto, etc.)
Experienced with designing and developing ETL data pipelines using tools such as Airflow, Nifi, or Kafka.
Strong understanding of SQL and data modeling
Understanding of Linux, Amazon Web Services (or other cloud platforms), Python, Docker, and Kubernetes
Experienced with common software engineering tools (e.g., Git, JIRA, Confluence, or similar)
Bachelor's degree in computer science or comparable field or equivalent experience
A proven understanding and application of computer science fundamentals: data structures, algorithms, design patterns, and data modeling
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