What are the responsibilities and job description for the Staff Data Engineer (Austin, San Antonio or Dallas) position at H-E-B?
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-MLOps, Data Solutions job, that means you have a...
HEART FOR PEOPLE... you can organize multiple engineers, negotiate solutions, and provide upward communication
HEAD FOR BUSINESS... you consistently demonstrate and uphold the standards of coding, infrastructure, and process
PASSION FOR RESULTS... you're capable of high-velocity contributions in multiple technical domains
What You'll Do
- As a Staff Engineer , you will be responsible for automating, scaling, supporting, and cost-optimizing our enterprise-scale machine learning pipelines.
- You will collaborate closely with data scientists, data engineers, and platform engineers to establish CI / CD and infrastructure-as-code frameworks, develop reusable pipelining libraries, design scalable, highly-fault-tolerant architectures, implement model observation and performance monitoring, and deploy / 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
- You will build MLOps solutions for a wide array of deeply interesting problem domains, including clickstream, product demand, product quality, logistics, pricing, customer satisfaction, manufacturing, store operations, workforce management, energy usage, and much more.
- Collaborate with data scientists, data engineers, and platform engineers to design, build, and deploy ML pipeline tools and frameworks for performance, reliability, and optimal cost
- Take offline models data scientists build and turn them into a real machine learning production system.
- Design, build and maintain the ML CI / CD pipeline and workflows that automates data collection, data analysis, experimentation, model training, model serving and monitoring in production.
- Instrument observation and monitoring of pipeline performance, accuracy, and drift to help Data Science plan for and take corrective action.
- Support production ML solutions, particularly those that support mission-critical applications such as HEB.com and the HEB App.
- Translate models to optimal production code and work with Data Science to validate the results before deployment.
- Evaluate third-party tools and frameworks to determine which make sense for HEB to adopt.
- Establish and enforce team development standards.
Who You Are
DATA3232
