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# Data Engineer

- **Company:** Oxford Industries, Inc
- **Location:** Atlanta, GA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Sql Data Warehouse, Microsoft Azure, Data Governance, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Structures, Data Stores, Database Design, Interoperability, Python (Programming Language), Meta-Data Management, Performance Tuning, Software Engineering, Snowflake, Boomi, Data Lineage, Data Analytics, Data Management, Physical Data Models, Data Delivery, Data Pipelines
- **Published:** May 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5c8ddc54d4a93459

## About the Role

Do you have experience in Software engineering?, * Generally, 3+ years of experience in software engineering, data management, or data analytics

 * Experience with cloud data warehouse platforms
 * Good understanding of ELT/ETL workflows and concepts, data pipelines, and data structures
 * Some experience designing and building conceptual and physical data models
 * Intermediate software engineering skills

## Description

The Data Engineer will work with the Data & Analytics team to implement and maintain a robust data platform used to process and store data across Oxford Industries and its operating divisions. The Data Team supports a complex landscape of 100+ integrated systems and more than 3,000 data models that power analytics, reporting, and operations across the enterprise. The platform currently runs on Snowflake with dbt for transformation, a custom Azure-based Python framework for ELT, and Boomi as our iPaaS platform. Responsibilities include:

 * Build required infrastructure for optimal extraction, transformation and loading of data from various data sources
 * Iteratively improve data platform for greater scalability, optimization of data delivery, and automation of manual processes
 * Implement process improvements to support data integrity efforts and system performance
 * Demonstrate efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data.
 * Support the Data & Analytics Department to create database designs that meet business needs while optimizing performance
 * Create and maintain systems documentation
 * Write maintainable, performant code
 * Consistently follow standards, guidelines, and procedures for design and maintenance
 * Analyze the existing data structures and identify the sources of incoming data to drive source to target mapping and other related artifacts.
 * Support the Data & Analytics Department's development of reference, master, and metadata management; data integration and interoperability; data quality processes; data analytics and reporting capabilities; and data governance.


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