Ahold Delhaize USA→
Data Engineer III - Supply Chain at Ahold… · Salisbury
ExperiencedOn-siteFull-timeSalisbury, NC$125k–$188k/yr
Job Description
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.
*Our flexible/hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office location for this role is Salisbury, NC or Quincy, MA.
*Applicants must be currently authorized to work in the United States on a full-time basis.
Preferred Qualifications:
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.
Overview
The Data Engineer III 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 location for this role is Salisbury, NC or Quincy, MA.
*Applicants must be currently authorized to work in the United States on a full-time basis.
Position Summary
The Data Engineer III designs and implements reusable data patterns, automates quality and governance checks, and strengthens pipeline reliability and observability.Schedule
Our flexible/hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office location for this role is Salisbury, NC or Quincy, MA.Authorized to work in the U.S.
Applicants must be currently authorized to work in the United States on a full-time basis.Responsibilities
- Design modular ingestion and transformation components for common use cases, emphasizing reuse and maintainability.
- 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 DataDog 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.
Design
Design modular ingestion and transformation components for common use cases, emphasizing reuse and maintainability. Build automated data tests, quality rules, and lineage capture into pipelines; contribute to CI/CD workflows that validate and deploy changes safely.Support
Support cloud service integration and container/orchestration patterns as needed to improve scalability and runtime performance. 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.Technical
Operate monitoring, logging, and alerting; tune signals to reduce noise and speed triage (including observability tooling such as DataDog where used). Partner with consumers to align data models with user needs and usability principles; provide reusable datasets and components. Execute upgrades and changes using low-risk deployment practices, contributing automation scripts and repeatable release steps.Infrastructure
Maintain infrastructure as code and update environment configurations using approved tools and templates.Document
Document standards, runbooks, and troubleshooting guides; contribute to internal enablement materials for platform usage.Requirements
- Bachelor's degree or equivalent years of work experience.
- 5+ years in data engineering or closely related roles.
- Hands-on experience with orchestration, distributed processing, and storage.
- Proficiency in scripting/automation and version control.
- Clear problem solving and communication skills.
Preferred Qualifications:
- Exposure to streaming and change data capture patterns.
- Awareness of privacy/security controls for data.
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.