Staff Data Engineer-AI Platform

H-E-B; Austin (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

H-E-B in Austin, TX is seeking a Staff Data Engineer to lead and mentor engineers, set technical direction, and partner with product, data science, and analytics teams to design scalable data platforms.

The role focuses on building large-scale data pipelines, data models, data quality frameworks, and real-time streaming solutions, while guiding teams through full SDLC and driving performance and reliability.

Qualifications

• Experience leading data teams and delivering data platforms.
• Ability to design scalable data architectures for analytics and ML.
• Proven ability to mentor engineers and drive technical excellence.

Responsibilities

• Lead data integration design and development.
• Oversee large-scale data pipelines and data quality frameworks.
• Architect real-time and batch data processing solutions.
• Provide technical direction across squads and mentor junior engineers.
• Ensure data reliability, performance, and secure data access.

Skills

Leadership

Team leadership

Data engineering

Mentoring

Data quality

Data architectures

Communication skills

Data modeling

Education

Related degree or training

Tools

Big data tools

Job description

Responsibilities

Responsibilities

Job Summary: 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.

Key Responsibilities & Essential Functions

• Design & Development:
• Leads team in designing / developing data integrations that support application engineering and system integration
• Leads design / development / maintenance of largescale 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

The responsibilities and essential functions outlined above describe the general nature and level of work assigned to this position. This is not an exhaustive list of all duties, responsibilities, and skills required. Duties and responsibilities may be modified at any time based on business needs. Employees may be required to perform other job-related tasks as requested by their supervisor, subject to reasonable accommodations.

Work Experience

Qualifications & Key Requirements:

• of experience related to data engineering -
• leadership experience -
• Experience in team leadership -
• Experience working in large scale infrastructure -
• large data sets -
• and mission critical SLAs -

Knowledge/Skills/Abilities

• 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 -

Education

• A related degree or comparable formal training, certification, or work experience -

Licenses/Certifications

Physical Demands & Working Conditions:

• Function in a fast-paced environment
• Work extended hours; sit for extended periods

The work environment characteristics described here are representative of those a Partner encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Last revised: 11/01/2024