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Senior Data Engineer (Austin, or Dallas)

H-E-B

Role overview

Qualifications

  • Experience related to data engineering
  • Knowledge of Lean Startup and Agile development methodologies
  • Strong understanding of data architecture and data modelling best practices
  • Ability to collaborate across multiple work locations

Responsibilities

  • Designs data patterns that support the creation of datasets for analytics
  • Builds large-scale batch and real-time data pipelines with big data processing frameworks
  • Mentors and provides support to junior Data Engineers
  • Engages with stakeholders to develop a clear understanding of data and data infrastructure needs

Key facts

Hard skills

Data Engineering Data Architecture Data Modeling Machine Learning Data Integration Data Quality Business Intelligence Analytics Data Lakes Data Grid

Other skills

  • Problem Reporting
  • Communication
  • Collaboration
  • Problem Solving
  • Mentorship
  • Time Management
  • Adaptability
  • Stress Management

About the company

H-E-B logo

H-E-B

Retail – Supermarkets & Hypermarkets

H-E-B is headquartered in San Antonio, Texas with approximately $32 billion in revenue and 117,000+ Partners. Founded in 1905, H-E-B operates more than 400 stores in a number of formats, including superstores, supermarkets and gourmet markets. H-E-B is the #1 food retailer in the Austin, San Antonio, Houston, Corpus Christi and Rio Grande Valley markets. Our company is the largest private company in Texas and one of the 15 largest privately held companies in the U.S. Our employees are called Partners. That's because we work together to build our company and create a sense of community here in Texas. Working here is more than a job. It's a chance work with many great people and blaze an exciting career path.

Company details

Company typeXLarge
IndustryRetail – Supermarkets & Hypermarkets
Company size10001

Links

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Job description

Responsibilities: Job Summary: As a Senior Data Engineer, you'll use an advanced analytical, data-driven approach to drive a deep understanding of our fast-changing business and answer real world questions. You'll work with stakeholders to develop a clear understanding of data and data infrastructure needs, resolve complex data-related technical issues, and ensure optimal data design and efficiency.

Key Responsibilities & Essential Functions:

  • Design & Development:

    • Designs data patterns that support creation of datasets for analytics; implements calculations, cleanses data, ensures standardization of data, maps / links data from more than one source

    • Performs data validation and quality assurance on work of junior peers and write automated tests

    • Maintains / streamlines existing data pipelines end to end

    • Builds / supports more complex data pipelines, application programming interfaces (APIs), data integrations, data streaming solutions, predictive model implementations (quality, velocity, etc.)

    • Identifies more complex data from upstream sources to enable new capabilities.

    • Engages in testing of the technical solutions to ensure data integrity and system functionality of own work and broader system, E2E

    • Builds large-scale batch and real-time data pipelines with big data processing frameworks.

    • Designs / develops data integrations to support application engineering and system integration

    • Designs / develops / maintains large data pipelines; diagnoses / solves production support issues

    • Creates documentation and training related to technology stacks and standards within assigned team

    • Designs / implements monitoring capabilities based on business SLA and data quality

    • Uses / contributes to refinement of Digital Engineering-related tools, standards, and training

    • Engages / collaborates with external technical teams to ensure timely, high-quality solutions

    • Engages with shared services teams and vendors when necessary

    • Works closely with Product, Data Science, Application, and Analytics teams to develop a clear understanding of data and data infrastructure needs; assists with data-related technical issues; ensures optimal data design and efficiency

    • Performs full SDLC process, including planning, design, development, certification, implementation, and support

    • Interacts with Product, Business, Analyst stakeholders to confirm data quality, discuss requirements, and support data testing

    • Peer reviews other team members code; learns / adapts from peer review of own code

    • Contributes to overall design, architecture, security, scalability, reliability, and performance

    • Mentors / provides support to junior Data Engineers

    • Builds more complex data models to deliver insightful analytics; ensures highest standard in data integrity

    • 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 -
  • Experience in Lean Startup -
  • Agile development methodologies -
  • Experience working in large scale infrastructure -
  • large data sets -
  • and mission critical SLAs -


Knowledge/Skills/Abilities:
  • Advanced knowledge of Lean Startup / Agile methods -
  • Knowledge of business intelligence, analytics and reporting, and application integration -
  • Knowledge of data architectures such as data warehouse, data lake, and data mesh and when to apply -
  • Strong working understanding of data architecture and data modelling best practices and guidelines for various data and analytic platforms -
  • Strong working understanding of coding standards and design principles / patterns -
  • Strong prioritization skills -
  • Strong verbal / written communication and data presentation skills -
  • Ability to deliver on ambiguous projects with incomplete information -
  • 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 with the ability to work from home and / or office
    • 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: 11/1/2024

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    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
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