Senior Data Engineer, Customer & Identity Resolution (Austin, TX On-Site)

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 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. 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… you’re willing to facilitate solutions with multiple engineers, provide upward communication, and mentor others? HEAD FOR BUSINESS… you consistently demonstrate and uphold the standards of coding, infrastructure, and process? PASSION FOR RESULTS… you’re capable of high-velocity contributions in multiple technical domains? We are looking for: 5+ years of experience related to data engineering What is the work? 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 What is your background? A related degree or comparable formal training, certification, or work experience 5+ years of experience related to data engineering Experience in Lean Startup or Agile development methodologies 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 Senior Data Engineer? Advanced knowledge of Lean Startup / Agile methods High proficiency in Python, PySpark, and SQL for large-scale data manipulation and pipeline development. Proven experience working with Google Cloud Platform (GCP) and managed services, Cloud Dataproc (Spark), Cloud Dataflow, Apache Airflow (Cloud Composer), Google Cloud Storage, Cloud Pub/Sub. Knowledge of modern Data Lakehouse architectures (Databricks, BigQuery), scalable ETL/ELT pipelines. Knowledge of business intelligence, analytics and reporting, and application integration. Strong working understanding of data architecture and data modelling best practices and guidelines for various data and analytic platforms Demonstrated experience developing and deploying internal data-serving REST APIs using frameworks like FastAPI, integrating APIs with downstream applications and microservices Strong adherence to software engineering best practices including unit testing, integration testing, code reviews, Git branching strategies, and CI/CD automation Strong prioritization skills Strong verbal / written communication and data presentation skills 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 Nice-to-Have Qualifications: Retail concepts: Previous background in retail, POS/transactions, and customer/identity resolution Graph Ecosystems: Working knowledge of Neo4j and the Cypher / ISO GQL query language. Can you... Function in a fast-paced environment with the ability to work from office Work extended hours; sit for extended periods JDENGINEERING

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 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. 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… you’re willing to facilitate solutions with multiple engineers, provide upward communication, and mentor others? HEAD FOR BUSINESS… you consistently demonstrate and uphold the standards of coding, infrastructure, and process? PASSION FOR RESULTS… you’re capable of high-velocity contributions in multiple technical domains? We are looking for: 5+ years of experience related to data engineering What is the work? 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 What is your background? A related degree or comparable formal training, certification, or work experience 5+ years of experience related to data engineering Experience in Lean Startup or Agile development methodologies 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 Senior Data Engineer? Advanced knowledge of Lean Startup / Agile methods High proficiency in Python, PySpark, and SQL for large-scale data manipulation and pipeline development. Proven experience working with Google Cloud Platform (GCP) and managed services, Cloud Dataproc (Spark), Cloud Dataflow, Apache Airflow (Cloud Composer), Google Cloud Storage, Cloud Pub/Sub. Knowledge of modern Data Lakehouse architectures (Databricks, BigQuery), scalable ETL/ELT pipelines. Knowledge of business intelligence, analytics and reporting, and application integration. Strong working understanding of data architecture and data modelling best practices and guidelines for various data and analytic platforms Demonstrated experience developing and deploying internal data-serving REST APIs using frameworks like FastAPI, integrating APIs with downstream applications and microservices Strong adherence to software engineering best practices including unit testing, integration testing, code reviews, Git branching strategies, and CI/CD automation Strong prioritization skills Strong verbal / written communication and data presentation skills 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 Nice-to-Have Qualifications: Retail concepts: Previous background in retail, POS/transactions, and customer/identity resolution Graph Ecosystems: Working knowledge of Neo4j and the Cypher / ISO GQL query language. Can you... Function in a fast-paced environment with the ability to work from office Work extended hours; sit for extended periods JDENGINEERING