Senior Data Engineer

Senior Data Engineer Data Modernization / Fabric Migration

Location: Cincinnati, OH

Pay Rate: $75/hr on W2

Employment: Contract / Contract-to-Hire

Duration: 6+ Months (Potential Long-Term Opportunity)

We are seeking a Senior Data Engineer to support a large-scale Data Modernization initiative focused on migrating and productionizing Sales and ERP data into a scalable Microsoft Fabric and Azure-based data platform. This role will be instrumental in building reusable data ingestion frameworks, enterprise data models, and production-ready analytics solutions that support future business growth.

Key Responsibilities:

• Design, develop, and optimize scalable ETL/ELT pipelines within Microsoft Fabric and Azure environments.
• Build reusable ingestion frameworks for ERP and operational data sources.
• Develop and maintain dimensional data models for enterprise reporting and analytics.
• Integrate data from ERP platforms, including Oracle Fusion and legacy systems.
• Support Power BI modernization and migration efforts within Microsoft Fabric.
• Ensure performance, scalability, governance, and operational reliability of data platforms.
• Collaborate with architects, analysts, and business stakeholders to standardize data definitions and transformation logic.

Required Skills:

• 5+ years of Data Engineering experience.
• Strong expertise in Microsoft Fabric, Azure Data Factory (ADF), SQL, and Python/PySpark.
• Experience with Data Lakes, Data Warehouses, ETL/ELT development, and dimensional modeling.
• Hands-on experience with REST/API-based integrations and CI/CD for data platforms.
• Strong understanding of enterprise data architecture, governance, and reporting frameworks.

Preferred Skills:

• Microsoft Purview, Azure DevOps, Databricks, Snowflake, and Kafka.
• ERP integration experience, preferably Oracle Fusion.
• Knowledge of data security, RBAC, and governance best practices.