Data Engineer

About this role

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
- Exper...