Senior Software Engineer, Data Solutions-Dallas, Austin, or San Antonio, TX

Key Skills

Agile methodologies, Amazon Simple Storage Service (S3), Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, Data Engineering, Data science techniques, DevOps, Effective communication skills, GitLab, Google Cloud Platform (GCP), Java Programming, Lambda, Machine learning techniques, MLOps tools, NoSQL, Python Programming, Scala Programming, SQL

Job Description

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, 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 Senior Software Engineer, Data Solutions job, that means you have a...

HEART FOR PEOPLE... you can organize multiple engineers, negotiate solutions, and provide upward communication

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

What You'll Do

• Implement Infrastructure as Code using tools like Terraform, CloudFormation, Ansible, Chef to enhance the scalability and reliability of data pipelines
• Leverage your expertise in cloud administration to manage AWS EMR, Lambda, S3, and other cloud services for optimal performance and security
• Collaborate closely with cross-functional teams, including Data Science, Front End Teams, and Product Managers, to drive impactful results

Project You Will Impact

• You'll play a pivotal role in developing recommendation systems to create a more personalized shopping experience for our customers.
• Work on real-time API services that harness the power of ML Models to enhance our data-driven solutions.
• Take the lead in improving data quality and enhancing the consumer experience for over 100,000 enterprise data consumers.

Who You Are

To thrive in this role, you should possess the following qualifications and qualities:

• 5+ years of experience in SQL and proficiency in one or more of the following languages: Python, Java, or Scala.
• A strong understanding of Big Data and Hybrid Cloud infrastructure.
• Proven experience with technologies like Kafka, Kubernetes, Spark, Databricks, AWS EMR, Lambda, S3, Snowflake, Teradata, GCP Cloud services, and NoSQL solutions.
• Proficiency in cloud administration and infrastructure as code using tools such as Terraform, CloudFormation, Ansible, and Chef.
• Familiarity with DevOps tools like GitLab CI/CD and Jenkins.
• Keen interest in staying up-to-date with the latest technology developments and the ability to evaluate and propose new solutions for our data platform.
• An advanced understanding of development methodologies, CS fundamentals, system architecture, and design patterns.
• Experience with common software engineering tools such as Git, JIRA, Confluence, etc.
• Comfortable working in Lean Startup or Agile development methodologies.
• A related degree or comparable formal training, certification, or work experience.
• Excellent written, oral communication, and presentation skills.
• Understanding of MLOps and Data Engineering.

Bonus Qualfications:

• DevOps Certifications
• Cloud certifications