Senior Data Engineer Retail Domain

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Python
Data Engineer
cloud data platforms
inventory turnover
CLV

Job Details

We re seeking a Senior Data Engineer to design and implement data solutions for one of the leading wholesale retailers in the U.S. The ideal candidate will have strong SQL and data modeling skills, deep retail domain knowledge, and experience integrating and migrating data from legacy systems to modern platforms.

Key Responsibilities:

  • Design and maintain retail data models (POS, CRM, Inventory, eCommerce).

  • Reverse engineer legacy systems and develop data migration mappings.

  • Build and optimize ETL pipelines using tools like Talend, SSIS, or Azure Data Factory.

  • Develop and optimize SQL queries for profiling, transformation, and reporting.

  • Architect and manage data warehouses/lakes on Snowflake or Azure Synapse.

  • Collaborate with business and IT teams on data-driven retail insights.

Required Skills:

  • 7+ years in data engineering, with strong SQL and Python.

  • Expertise in retail data, OLTP/OLAP systems, and analytics models.

  • Proficiency with cloud data platforms (Azure, Google Cloud Platform).

  • Experience with Erwin/ER Studio and retail KPIs (inventory turnover, CLV, etc.).

Preferred:

  • Exposure to SAS Retail, Oracle Retail, or SAP CAR.

  • Cloud or retail analytics certifications; familiarity with AI/ML use cases like demand forecasting

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.