

Saxon Global
Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer focused on CRM data integrity, located onsite in Cincinnati, OH, with a 6-month contract-to-hire. Requires 5+ years in Data Engineering, advanced SQL, and Microsoft Dynamics expertise. Preferred experience in Google Cloud Platform and RevOps.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
February 19, 2026
π - Duration
More than 6 months
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
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π - Location detailed
Cincinnati, OH
-
π§ - Skills detailed
#"ETL (Extract #Transform #Load)" #Debugging #Data Governance #CRM (Customer Relationship Management) #BigQuery #Data Quality #Data Pipeline #Data Engineering #GCP (Google Cloud Platform) #Cloud #Data Management #MDM (Master Data Management) #SQL (Structured Query Language)
Role description
Title: Dynamics Data Engineer
Location: Onsite || Cincinnati, OH
Duration: 6 Months Contract-TO-hire
Role Overview
β’ Our client is seeking a CRM-focused Data Engineer to take ownership of data quality and integrity across the Microsoft Dynamics ecosystem.
β’ This position will play a critical role in resolving ongoing discrepancies between the organizationβs Customer Data Hub (Google-based) and Dynamics, ensuring accurate, reliable, and trusted CRM data across the enterprise.
This is a highly visible role with broad organizational impact.
Primary Responsibilities
β’ Serve as the central point of accountability for Dynamics CRM data health and consistency
β’ Investigate and remediate recurring data mismatches between CRM and Google-based CDH environments
β’ Perform deep-dive root cause analysis across interconnected systems
β’ Troubleshoot and optimize ETL/ELT data pipelines supporting CRM integrations
β’ Identify and resolve master data management (MDM) and duplicate record challenges
β’ Strengthen integration reliability between CRM and downstream/upstream platforms
Required Qualifications
β’ 5+ years of experience in Data Engineering or CRM Data Operations roles
β’ Advanced SQL skills with the ability to independently query, analyze, and diagnose complex data issues
β’ Strong understanding of the Microsoft Dynamics data schema and underlying data structures
β’ Hands-on experience debugging data pipelines and system integrations
β’ Proven experience improving data quality in multi-system enterprise environments
Preferred Background
β’ Exposure to Revenue Operations (RevOps) processes
β’ Experience working within Google Cloud Platform and/or BigQuery
β’ Familiarity with data governance standards and frameworks
Title: Dynamics Data Engineer
Location: Onsite || Cincinnati, OH
Duration: 6 Months Contract-TO-hire
Role Overview
β’ Our client is seeking a CRM-focused Data Engineer to take ownership of data quality and integrity across the Microsoft Dynamics ecosystem.
β’ This position will play a critical role in resolving ongoing discrepancies between the organizationβs Customer Data Hub (Google-based) and Dynamics, ensuring accurate, reliable, and trusted CRM data across the enterprise.
This is a highly visible role with broad organizational impact.
Primary Responsibilities
β’ Serve as the central point of accountability for Dynamics CRM data health and consistency
β’ Investigate and remediate recurring data mismatches between CRM and Google-based CDH environments
β’ Perform deep-dive root cause analysis across interconnected systems
β’ Troubleshoot and optimize ETL/ELT data pipelines supporting CRM integrations
β’ Identify and resolve master data management (MDM) and duplicate record challenges
β’ Strengthen integration reliability between CRM and downstream/upstream platforms
Required Qualifications
β’ 5+ years of experience in Data Engineering or CRM Data Operations roles
β’ Advanced SQL skills with the ability to independently query, analyze, and diagnose complex data issues
β’ Strong understanding of the Microsoft Dynamics data schema and underlying data structures
β’ Hands-on experience debugging data pipelines and system integrations
β’ Proven experience improving data quality in multi-system enterprise environments
Preferred Background
β’ Exposure to Revenue Operations (RevOps) processes
β’ Experience working within Google Cloud Platform and/or BigQuery
β’ Familiarity with data governance standards and frameworks






