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 Senior Data Engineer, supporting DevOps and Machine Learning role you have a...
HEART FOR PEOPLE... you're willing to provide support to junior developers
HEAD FOR BUSINESS... you have the skills to effectively deliver code solutions / features
PASSION FOR RESULTS... you can produce quality results with little direct supervision
What You'll Do

• Y ou will be participating in automating, scaling, supporting our enterprise-scale machine learning pipelines.
• You will collaborate closely with data scientists, data engineers, and platform engineers to meet the needs of internal and external stakeholders
• You will participate in establishing CI/CD and infrastructure-as-code frameworks, develop reusable pipelining libraries, implement model observation and performance monitoring, and support enterprise-grade ML solutions.
• You will optimize machine learning models for production efficiency and cost-optimize the solution to maximize its ROI to the business.

Who You Are

• You have 5+ years of experience as a Data Engineer and 2+ years of experience building and deploying ML models
• You understand data structures and algorithms.
• Strong understanding of model and data versioning, model deployment, model serving and model monitoring.
• Experience with container-based application development (Docker, Kubernetes, etc.)
• Experience setting up CI/CD pipeline processes, managing versioned data sets, optimizing model code, deploying pipelines and resolving support incidents.
• Designed and developed ETL data pipelines using tools such as Spark, PySpark, Java, Docker, Kafka/Confluence, etc.
• Experience with Cloud computing technology such as AWS, GCP, Azure, etc.
• You think outside of the box and have a passion for building analytics solutions to enable business users in making time-sensitive and critical decisions
• You have strong analytical and interpersonal skills.

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