Data Engineer III

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.

Chicago, IL

Ahold Delhaize USA

<p class="p1"><strong><br />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 &ndash; Food Lion, Giant Food, The GIANT Company, Hannaford and Stop &amp; 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.<br /><br /></strong>Join our Talent Community to stay updated on opportunities with Ahold Delhaize USA. You&rsquo;ll be the first to know about new positions that match your career aspirations. To join, click here: <strong><a href="https://aholddelhaizeusa.careerswithus.com/talent-community" target="_blank" title="Talent Community - Ahold Delhaize USA (careerswithus.com)" rel="noopener noreferrer">Talent Community - Ahold Delhaize USA (careerswithus.com)</a></strong>.&nbsp;</p> <p class="p2">&nbsp;</p> <p class="p1"><strong><a href="https://aholddelhaizeusacareers.appvault.com/create" target="_blank" title="Talent Community " rel="noopener noreferrer"></a><br /></strong></p> https://www.adusa.com/

keywords: position summary,schedule,authorized to work in the u.s.,design,document,data,support,technical,education & experience,preferred

Full Time

492479

Overview: Designs and implements reusable data patterns, automates quality and governance checks, and strengthens pipeline reliability and observability.<br /><br />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.<br /><br />Applicants must be currently authorized to work in the United States on a full-time basis.
Responsibilities: <ul> <li>Design modular ingestion and transformation components for common use cases, emphasizing reuse and maintainability.</li> <li>Participates in developing streaming data applications (<strong>Kafka</strong>), data transformation and data pipelines.</li> <li>Build automated data tests, quality rules, and lineage capture into pipelines; contribute to CI/CD workflows that validate and deploy changes safely.</li> <li>Operate monitoring, logging, and alerting; tune signals to reduce noise and speed triage (including observability tooling such as DataDog where used).</li> <li>Execute upgrades and changes using low-risk deployment practices, contributing automation scripts and repeatable release steps.</li> <li>Support cloud service integration and container/orchestration patterns as needed to improve scalability and runtime performance.</li> <li>Partner with consumers to align data models with user needs and usability principles; provide reusable datasets and components.</li> <li>Maintain infrastructure as code and update environment configurations using approved tools and templates.</li> <li>Document standards, runbooks, and troubleshooting guides; contribute to internal enablement materials for platform usage.</li> <li>Contribute to Agile planning and continuous improvement; support operational needs that keep platform services running.</li> <li>May be called upon to support critical escalations and must be available during urgent IT incidents as needed.</li> </ul> <br />
Requirements: <ul> <li>Bachelor's degree or equivalent years of work experience.</li> <li>5+ years in data engineering or closely related roles.</li> <li>Experience with Kafka and Databricks, or comparable.</li> <li>Hands-on experience with orchestration, distributed processing, and storage.</li> <li>Proficiency in scripting/automation and version control.</li> <li>Clear problem solving and communication skills.</li> </ul> <br /><strong>Preferred Qualifications:</strong><br /> <ul> <li>Exposure to streaming and change data capture patterns.</li> <li>Awareness of data privacy and access control practices.</li> <li>Hands-on experience with&nbsp;<strong>Databricks&nbsp;</strong>Declarative Pipelines and meta-data driven architecture.</li> </ul> <br /><br />Salary Range: $125,040 - $187,560<br /><br /><strong>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.</strong><br><br>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.