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Senior Data Engineer (Fabric, Azure Data Factory)

  • Job type Posted on: Jul 19, 2026
  • Experience level CBTS
  • Employment type Cincinnati, Ohio
  • Remote status Salary: $135,200 per year
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Senior Data Engineer (Fabric, Azure Data Factory)

Job Type :

Full-time

Job Location :

Cincinnati Ohio United States

Remote :

No

Jobcon Logo Job Description :

Skills: ADFv2, MS Fabric (Data Migration Must Have), ETL, Python, Oracle Fusion- 6 Month CTH Pay: $65.00 - $75.00 per hour W-2 / Salary ($115k - $125k) - US Citizen or Green Card Only CBTS is searching for a Senior Data Engineer to support an enterprise Data Modernization initiative focused on migrating and productionizing Sales and ERP data into a scalable Microsoft Fabric/Azure-based data platform. This role will help establish reusable ingestion patterns, dimensional data models, governance standards, and production-ready reporting pipelines that will serve as the foundation for future enterprise data integrations. The ideal candidate will have strong experience building modern cloud-based data solutions, integrating ERP systems, and developing scalable ETL/ELT pipelines within Azure and Microsoft Fabric environments. RESPONSIBILITIES Design, develop, and optimize scalable ETL/ELT pipelines supporting enterprise data migration and production initiatives Build reusable ingestion frameworks for onboarding ERP and operational data sources into Microsoft Fabric and Azure-based data lake environments Develop and maintain dimensional data models supporting enterprise reporting and analytics Integrate data from multiple ERP systems including Oracle Fusion and legacy operational platforms Collaborate with architects, reporting teams, and business stakeholders to standardize data definitions and transformation logic Support migration and modernization of Power BI reporting assets into Microsoft Fabric Optimize performance, scalability, monitoring, and operational reliability of production data pipelines Participate in Agile ceremonies, sprint planning, estimation, and technical design discussions QUALIFICATIONS 5+ years of experience in Data Engineering or Data Platform Engineering Strong experience with Azure cloud data services and Microsoft Fabric Experience building enterprise-scale data pipelines and data warehouse solutions Strong SQL and Python/PySpark development skills Experience with dimensional modeling and enterprise reporting frameworks Experience integrating ERP and operational systems into centralized data platforms Understanding of data governance, security, and compliance best practices Experience working in Agile delivery environments CBTS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jul 19, 2026

Reference Number:

14660_EA89A1D11A8EA8CC9EAC15FFCF7E36C8

Employment:

Full-time

Salary:

Not Available

City:

Cincinnati

Job Origin:

APPCAST_CPC

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Skills: ADFv2, MS Fabric (Data Migration Must Have), ETL, Python, Oracle Fusion- 6 Month CTH Pay: $65.00 - $75.00 per hour W-2 / Salary ($115k - $125k) - US Citizen or Green Card Only CBTS is searching for a Senior Data Engineer to support an enterprise Data Modernization initiative focused on migrating and productionizing Sales and ERP data into a scalable Microsoft Fabric/Azure-based data platform. This role will help establish reusable ingestion patterns, dimensional data models, governance standards, and production-ready reporting pipelines that will serve as the foundation for future enterprise data integrations. The ideal candidate will have strong experience building modern cloud-based data solutions, integrating ERP systems, and developing scalable ETL/ELT pipelines within Azure and Microsoft Fabric environments. RESPONSIBILITIES Design, develop, and optimize scalable ETL/ELT pipelines supporting enterprise data migration and production initiatives Build reusable ingestion frameworks for onboarding ERP and operational data sources into Microsoft Fabric and Azure-based data lake environments Develop and maintain dimensional data models supporting enterprise reporting and analytics Integrate data from multiple ERP systems including Oracle Fusion and legacy operational platforms Collaborate with architects, reporting teams, and business stakeholders to standardize data definitions and transformation logic Support migration and modernization of Power BI reporting assets into Microsoft Fabric Optimize performance, scalability, monitoring, and operational reliability of production data pipelines Participate in Agile ceremonies, sprint planning, estimation, and technical design discussions QUALIFICATIONS 5+ years of experience in Data Engineering or Data Platform Engineering Strong experience with Azure cloud data services and Microsoft Fabric Experience building enterprise-scale data pipelines and data warehouse solutions Strong SQL and Python/PySpark development skills Experience with dimensional modeling and enterprise reporting frameworks Experience integrating ERP and operational systems into centralized data platforms Understanding of data governance, security, and compliance best practices Experience working in Agile delivery environments CBTS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. #J-18808-Ljbffr

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