Staff Software Engineer-Data Solutions for Accounting (Austin, San Antonio, or Dallas)

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, how they make food decisions, and how they 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. If you enjoy taking on new challenges, working in a rapidly changing environment, learning new skills, and applying it all to solve large and impactful business problems, we want you as part of our team. 

Our Partners thrive The H-E-B Way. In the Staff Software Engineer job, that means you have a... 
HEART FOR PEOPLE... you have a passion for mentorship and guidance, and love for the direct person-to-person interactions that create strong bonds between teams 
HEAD FOR BUSINESS... you have an ownership mentality and a consistent track record of timely delivery of high-quality software 
PASSION FOR RESULTS... the ability to guide the discussion, remove roadblocks, and provide guardrails for your team as they identify challenges and propose solutions 

As a Staff Engineer, Data Solutions you'll: 

• Develop data model and data pipelines and build Rest API's to provide data to our downstream systems. 

• Work as an Agile partner and participate in back log refinement, sprint planning, review, and retrospective. 

• Coach and mentor junior engineers in engineering techniques, processes, and new technologies; enable others to succeed. 

• Contribute to overall system design, architecture, security, scalability, reliability, and performance of applications. 

• Support the build and deployment pipeline and when necessary, both diagnose and solve production support issues. 

• Work with Product, Design, and QA to deliver world-class digital experiences. 

• Get the opportunity to stay ahead of new technologies with an eye to evaluating and potentially incorporating them into your team's architecture. 

• Apply understanding to help improve the cloud infrastructure that powers our high-performance, consumer-scale site and mobile apps. 

Who You Are: 

• 5+ years of experience with ETL, Data Modeling, Data Warehousing, and working with large-scale datasets (enterprise experience is a plus!). 

• 5+ years of hands-on experience in multiple modern programming languages such as Python or Java 

• 5+ years of API development (specifically Rest API) and test-driven development 

• 2+ years of experience leveraging DevOps principals such as CI/CD and using tools like Git, Jenkins, etc. 

• 3+ years of experience with Kafka and/or building real-time streaming data pipelines and applications 

• Strong experience with Argo and Informatica workflow tools. 

• Strong working knowledge of Data Engineering and associated tools and technologies like Apache, Spark, Databricks, Python, SQL, and data lake concepts. 

• Working experience with AWS services such as Lambda, RDS, ECS, DynamoDB, API Gateway, S3, etc. 

• Bachelor's degree in computer engineering, Computer Science or related discipline, master's degree preferred 

• An equivalent combination of education and experience may be accepted as a satisfactory substitute for the specific education and experience listed above. 

It’s a Plus if you have: 

• Experience working with other public cloud technologies AWS, GCP  

• Hands on experience with data virtualization technologies: CIS (Tibco), Denodo, or SQL 2019 Virtualization 

• Experience building test automation to ensure data quality and accuracy 

• Proficient in data modeling (specifically RDS, PostgreSQL, Oracle) 

• Experience collaborating with accounting personnel on reconciliations, ensuring accuracy and integrity of timely financial data. 

• Understanding of accounting concepts such as: Retail Sales, Accounts Payable (AP), General Ledger (GL) management, Budgeting and forecasting, Cost accounting, Variance analysis, Revenue recognition, Accounts Receivable (AR), and Internal controls and compliance 

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