Data Engineer II

Adusa; Salisbury (NC); Hybrid; USD 101,000 - 152,000; Full time

Job summary

Ahold Delhaize USA is seeking a Data Engineer II to design and implement data pipelines, automate routine tasks, and support monitoring and documentation at our Salisbury, NC core location (with hybrid days in place).

The role requires 3+ years in data engineering or related software/platform work, a Bachelor's degree or equivalent, and knowledge of data modeling, orchestration, and scripting. Applicants must be authorized to work in the United States.

Qualifications

• Bachelor's degree or equivalent years of work experience.
• 3+ years in data engineering or software/platform roles.
• Working knowledge of data modeling, orchestration, and storage options.
• Basic scripting and version control proficiency.
• Collaborative communication and problem solving.

Responsibilities

• Apply ingestion/transformation templates to build reusable data components.
• Automate validations and CI/CD tasks for deployments.
• Monitor metrics and support platform reliability.
• Assist with upgrades, migrations, and performance tuning.
• Maintain documentation and change records for users.
• Support infrastructure as code updates using Terraform/Ansible/CloudFormation.
• Suggest improvements to reduce toil and improve user experience.
• Be available for urgent incidents as needed.

Skills

Data modeling

Orchestration

Scripting

Version control

Communication

Education

Bachelor's degree

Tools

Terraform

Ansible

CloudFormation

Job description

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.

Overview

The Data Engineer II implements data pipelines and platform features, automates routine tasks, and supports monitoring, change execution, and documentation.

*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.

Responsibilities

• Apply standard modules/templates for ingestion and transformation, contributing consistent, reusable components.
• Automate validations, quality checks, and repeatable runbook steps via scripting; support CI/CD workflows for routine deployments.
• Compile and monitor operational metrics; operate monitoring and escalation incidents with clear diagnostics to support platform reliability.
• Assist with upgrades, migrations, and performance tuning tasks, including basic cloud service configuration and optimization as directed.
• Maintain documentation, inventories, and change records; keep implementation details clear and current for platform users.
• Support infrastructure as code updates using approved patterns and tooling (e.g., Terraform/Ansible/CloudFormation) under guidance.
• Suggest incremental improvements that reduce toil and improve consumer experience; stay curious about new tools and approaches.
• May be called upon to support critical escalations and must be available during urgent IT incidents as needed.

Requirements

• Bachelor's degree or equivalent years of work experience.
• 3+ years in data engineering or software/platform roles.
• Working knowledge of data modeling, orchestration, and storage options.
• Basic scripting and version control proficiency.
• Collaborative communication and problem solving.

Preferred Qualifications

• Familiarity with streaming basics and schema evolution.
• Awareness of privacy/security controls for data.

Salary Range: $101,360 - $152,040

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.