Data Engineer III

Introduction

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which also includes five leading omnichannel grocery brands – Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Ahold Delhaize USA associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.

Designs and implements reusable data patterns, automates quality and governance checks, and strengthens pipeline reliability and observability.

Our flexible/hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC, Chicago, IL, and Quincy, MA.

Applicants must be currently authorized to work in the United States on a full-time basis.

• Design modular ingestion and transformation components for common use cases, emphasizing reuse and maintainability.
• Participates in developing streaming data applications (
  Kafka
  ), data transformation and data pipelines.
• Build automated data tests, quality rules, and lineage capture into pipelines; contribute to CI/CD workflows that validate and deploy changes safely.
• Operate monitoring, logging, and alerting; tune signals to reduce noise and speed triage (including observability tooling such as Data Dog where used).
• Execute upgrades and changes using low-risk deployment practices, contributing automation scripts and repeatable release steps.
• Support cloud service integration and container/orchestration patterns as needed to improve scalability and runtime performance.
• Partner with consumers to align data models with user needs and usability principles; provide reusable datasets and components.
• Maintain infrastructure as code and update environment configurations using approved tools and templates.
• Document standards, runbooks, and troubleshooting guides; contribute to internal enablement materials for platform usage.
• Contribute to Agile planning and continuous improvement; support operational needs that keep platform services running.
• May be called upon to support critical escalations and must be available during urgent IT incidents as needed.

• Bachelor's degree or equivalent years of work experience.
• 5+ years in data engineering or closely related roles.
• Experience with Kafka and Databricks, or comparable.
• Hands‑on experience with orchestration, distributed processing, and storage.
• Proficiency in scripting/automation and version control.
• Clear problem solving and communication skills.

• Exposure to streaming and change data capture patterns.
• Awareness of data privacy and access control practices.
• Hands‑on experience with Databricks Declarative Pipelines and meta‑data driven architecture.

Salary Range: $125,040 - $187,560

Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws.