Staff Data Engineer - Store Operations

HEB

77d

About The Position

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.

Requirements

• A related degree or comparable formal training, certification, or work experience
• 7+ years of experience related to data engineering
• Experience in team leadership
• Experience working in large scale infrastructure, large data sets, and mission critical SLAs

Nice To Haves

• Comprehensive knowledge of Lean Startup / Agile development methodologies
• Knowledge of business intelligence, analytics / reporting, and application integration
• Knowledge of data architectures such as data warehouse, data lake, and data mesh and when to apply
• Expert understanding of coding standards, design principles / patterns, and data architecture and data modeling best practices and guidelines for different data and analytic platforms
• Advanced verbal / written communication and data presentation skills
• Strong prioritization skills
• Ability to deliver on ambiguous projects with incomplete information
• Ability to act as a thought leader and mentor to junior team members
• Ability / willingness to learn new technologies as they emerge
• Ability to calmly work under pressure
• Ability to work a flexible schedule as needed
• Ability to collaborate across multiple work locations
• Ability to work within a team, and willingness to take feedback from peers and mentors

Responsibilities

• Leads team in designing / developing data integrations that support application engineering and system integration
• Leads design / development / maintenance of large-scale data pipelines; may assist in diagnosing / solving complex production support issues
• Provides operational and technical expertise to design algorithms 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
• Leads engineers across one or more squads to deliver initiatives
• Mentors / provides support to junior data engineers; coaches / mentors engineers in engineering techniques, processes, new technologies
• Builds / supports complex data pipelines, APIs, data integrations, data streaming solutions, and predictive model implementations
• Identifies complex data from upstream sources to enable new capabilities
• Designs and builds large-scale batch / real-time data pipelines with big data processing frameworks
• Architects monitoring capabilities based on business SLA and data quality
• Maintains / streamlines existing data pipelines end to end
• Performs full SDLC process, including planning, design, development, certification, implementation, and support on more complex projects
• Establishes team operational plans; develops / implements new processes, standards, and operational plans that impact results; develops technical roadmaps
• Makes recommendations for overall data platforms, work flow, design, architecture, security, scalability, reliability, and performance
• Recommends changes to processes, tools at the group / dept level based on industry standards, patterns, and practices
• Tests technical solutions to ensure data integrity and system functionality of own work, with consideration toward broader system, E2E
• Designs scalable, efficient data models to support data integration, storage, and retrieval across complex systems
• Develops and implements data quality framework for data accuracy, consistency, and completeness across workflows
• Works with Product, Business, and Analyst stakeholders to confirm data quality, discuss requirements, and support data testing
• Creates team documentation and training related to technology stacks and standards
• Diagnoses / troubleshoots extremely complex issues independently
• Performs data validation and quality assurance on own work and of junior engineers
• Collaborates with external technical teams to ensure timely, high-quality solutions
• Engages with shared services teams and vendors as needed
• Influences others in technical decision-making / technology adoption in assigned domain
• Knowledge in machine learning concepts

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree