Demonstrated leadership experience in managing technical teams
Familiarity with large scale infrastructure and mission-critical SLAs
Knowledge of data architectures like data warehousing and data lakes
Strong communication and data presentation skills
Responsibilities
Lead the design and development of data integrations to support system integration
Oversee the creation and maintenance of large-scale data pipelines
Mentor junior engineers and foster their technical skills
Architect monitoring capabilities to ensure data quality
Collaborate with cross-functional teams to resolve data-related issues
Benefits
Opportunity for professional growth and mentorship
Exposure to cutting-edge technologies in data engineering
Collaborative work environment with diverse teams
Ability to influence technology decisions
Flexibility in work hours to accommodate project demands
Full Job Description
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
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.
Qualifications & Key Requirements:Work Experience:
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
About H-E-B
H-E-B is a privately held supermarket chain based in San Antonio, Texas, with more than 340 stores throughout the U.S. state of Texas, as well as in northeast Mexico. The company also operates Central Market, an upscale organic and fine foods retailer. As of 2021, the company has a total revenue of $32 billion. H-E-B was named Retailer of the Year in 2010 by Progressive Grocer.
