Staff Data Engineer-Data Modeling (Austin, San Antonio, or Dallas)

H-E-B • Full-time • San Antonio, TX, US • 24m ago

Responsibilities

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.Do you have a:HEART FOR PEOPLE... ability to serve as thought leader and mentor to Partners?HEAD FOR BUSINESS... you make sound, mature technical judgments that result in significant impact?PASSION FOR RESULTS... you can deliver sweeping technical initiatives with minimal guidance?

We are looking for:

7+ years of related experience to data engineering and data modeling; retail experience preferred

What is the work? Data Modeling:

Design/Develop/Maintain data models (including conceptual, logical, and physical models) that support application and analytical systems

Leverage data modeling software to create optimized data designs that facilitate consistency, reuse and ensure efficient storage and retrieval and limit data duplications

Use data modeling to create a common language with visual references to describe data and its relationships across business domains.

Define structures, relationships, data types, and constraints to reduce quality issues

Create data models to make it easier to understand data relationships, identify duplication, and align on sources of truth

Publish data models and support data modeling questions and education

Collaborate with data engineers across one or more teams to deliver initiatives

Works with Product, Business, and Analyst stakeholders to understand business processes and its relationship to data

Mentors / provides support to junior data engineers; coaches / mentors engineers in data modeling techniques, processes, new technologies

Data Design & Development:

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

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, workflow, design, architecture, security, scalability, reliability, and performance

Recommends changes to processes, tools at the group / dept level based on industry standards, patterns, and practices

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

What is your background?

Advanced knowledge in data modeling techniques such as Entity Relationship, Database Normalization, Dimensional (Star, Snowflake), Data Vault

Experience with data modeling software (such as Erwin, DbSchema, Lucid, ER/Studio)

Experience with cloud technologies such as GCP, Azure, or AWS

Experience with database technologies such as Oracle, Teradata, or Postgres

Experience with common data engineering tools (e.g., Git, Jira, Confluence)

Proficient in SQL and Python

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

7+ years of experience related to data engineering and data modeling; retail experience preferred

Experience in team leadership

Experience working in large scale infrastructure, large data sets, and mission critical SLAs

Do you have what it takes to be an H-E-B Staff Data Engineer?

High degree of personal accountability to self and team for continued growth

Able to drive progress without having a complete picture and can articulate potential tradeoffs and prioritize when faced with ambiguity.

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

Can you…

Function in a fast-paced environment

Work extended hours; sit for extended periods

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