Data Engineer - Store Operations

Staff Data Engineer - Store Operations

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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.

As a Staff Data Engineer, you'll lead, coach, and mentor engineers and teams and provide technical direction and support. You'll collaborate with Product, Data Science, Application, and Analytics teams to develop a clear understanding of data and data infrastructure needs to resolve data-related technical issues and ensure optimal data design and efficiency. 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.

• Lead team in designing / developing data integrations that support application engineering and system integration.
• Lead design / development / maintenance of large-scale data pipelines; may assist in diagnosing / solving complex production support issues.
• Provide operational and technical expertise to design algorithms and patterns that support large/complex datasets for analytics, implement calculations, cleanse data, ensure standardization of data, and map / link data from more than one source.
• Lead engineers across one or more squads to deliver initiatives.
• Mentor / provide support to junior data engineers; coach / mentor engineers in engineering techniques, processes, new technologies.
• Build / support complex data pipelines, APIs, data integrations, data streaming solutions, and predictive model implementations.
• Identify complex data from upstream sources to enable new capabilities.
• Design and build large-scale batch / real-time data pipelines with big data processing frameworks.
• Architect monitoring capabilities based on business SLA and data quality.
• Maintain / streamline existing data pipelines end to end.
• Perform full SDLC process, including planning, design, development, certification, implementation, and support on more complex projects.
• Establish team operational plans; develop / implement new processes, standards, and operational plans that impact results; develop technical roadmaps.
• Make recommendations for overall data platforms, workflow, design, architecture, security, scalability, reliability, and performance.
• Recommend changes to processes, tools at the group / dept level based on industry standards, patterns, and practices.
• Test technical solutions to ensure data integrity and system functionality of own work, with consideration toward broader system, E2E.
• Design scalable, efficient data models to support data integration, storage, and retrieval across complex systems.
• Develop and implement data quality framework for data accuracy, consistency, and completeness across workflows.
• Work with Product, Business, and Analyst stakeholders to confirm data quality, discuss requirements, and support data testing.
• Create team documentation and training related to technology stacks and standards.
• Diagnose / troubleshoot extremely complex issues independently.
• Perform data validation and quality assurance on own work and of junior engineers.
• Collaborate with external technical teams to ensure timely, high-quality solutions.
• Engage with shared services teams and vendors as needed.
• Influence others in technical decision-making / technology adoption in assigned domain.
• Knowledge in machine learning concepts.

Ability to serve as thought leader and mentor to Partners.

You make sound, mature technical judgments that result in significant impact.

You can deliver sweeping technical initiatives with minimal guidance.

• 7+ years of related…