Data Engineer

Data Engineer – Azure / Databricks (Supply Chain Data) Location: Remote (or Cincinnati, OH preferred) Duration: Contract (with potential extension) Start Date: ASAP Overview We are seeking a Data Engineer with strong Azure and Databricks experience to support Kroger’s Supply Chain Data Strategy. This role focuses on building cloud-first data solutions within a large-scale warehouse data environment. You will play a key role in a multi-year (2–5 year) transformation initiative, including the implementation of Manhattan (WMS), helping design and optimize data pipelines that power enterprise-wide supply chain insights. Key Responsibilities • Design, build, and optimize data pipelines using Azure Databricks • Develop data solutions leveraging Azure Data Lake (Gen2) • Write and optimize complex queries using SQL and PySpark/Python • Collaborate on data modeling, mapping, and transformation • Support data migration and cloud transformation initiatives • Build and maintain data catalogs and governance frameworks • Partner with cross-functional teams (engineering, PMs, analytics) • Ensure adherence to data quality, standards, and governance • Contribute to long-term initiatives including Manhattan WMS implementation Required Skills • Strong hands-on experience with: • Azure Data Lake (Gen2) • Azure Databricks • Advanced proficiency in: • SQL • Python / PySpark • Experience building and optimizing scalable data pipelines • Experience with data modeling, mapping, and transformation • Familiarity with data cataloging/governance tools (Unity Catalog, Alation) • Experience working in Agile/Scrum environments • Strong collaboration and communication skills Preferred Qualifications • Experience in supply chain, logistics, or warehouse data domains • Experience with Manhattan WMS or similar systems • Experience in large enterprise data environments • Experience with: • Power BI • Terraform • GitHub Actions • Experience working with analytics partners Ideal Candidate • Data Engineer with strong Azure cloud and Databricks expertise • Proven track record working with enterprise-scale data platforms • Experience supporting supply chain or warehouse data systems • Strong background in data pipeline development and optimization • Comfortable working in fast-paced Agile environments • Experience with data governance and cataloging tools Disqualifiers • No experience with Azure Databricks • No SQL or data engineering background • Candidates focused only on BI/reporting (no pipeline development) Team & Environment • Agile/Scrum-based warehouse data engineering team • High-impact role supporting enterprise supply chain operations • Collaborative environment with engineers, PMs, and analytics teams • Fast-paced, large-scale enterprise transformation initiative Interview Process • Round 1: Hiring Manager (30 minutes) • Round 2: Panel Interview (Tech Lead, PM, Engineer) • Hiring Manager reviewing candidates this week