Data Engineer III

ViziRecruiter,LLC.

Mauldin (SC)

Hybrid

USD 125,040 - 187,560

Full time

14 days+

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Job summary

A global food retailer is seeking an experienced Data Engineer to design and implement reusable data patterns while ensuring pipeline reliability. The position requires proficiency in Kafka and Databricks, along with a solid background in data engineering roles. The job offers a hybrid work schedule with 3 in-person days and 2 remote per week. Ahold Delhaize values problem-solving skills and offers a competitive salary ranging from $125,040 to $187,560, commensurate with experience.

Qualifications

  • 5+ years in data engineering or closely related roles.
  • Hands-on experience with orchestration, distributed processing, and storage.
  • Clear problem solving and communication skills.

Responsibilities

  • Design modular ingestion and transformation components for common use cases.
  • Build automated data tests, quality rules, and lineage capture into pipelines.
  • Contribute to CI/CD workflows that validate and deploy changes safely.

Skills

Data engineering
Kafka
Databricks
Scripting/automation
Version control

Education

Bachelor's degree or equivalent work experience

Tools

DataDog

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

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.

Responsibilities
  • 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 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.
Requirements
  • 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.
Preferred Qualifications
  • 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.

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