CBTS

Senior Data Engineer (W2 Contract Only/ No 3rd Parties)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Engineer position in Cincinnati, OH, offering $75/hr on a 6+ month contract. Requires 5+ years of data engineering experience, expertise in Microsoft Fabric, Azure Data Factory, SQL, and Python/PySpark, with ERP integration experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
600
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🗓️ - Date
June 23, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Cincinnati, OH
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🧠 - Skills detailed
#Azure DevOps #Migration #Data Warehouse #DevOps #Azure Data Factory #Security #Scala #Python #Azure #Data Security #Databricks #"ETL (Extract #Transform #Load)" #PySpark #Kafka (Apache Kafka) #Data Engineering #BI (Business Intelligence) #Snowflake #Data Ingestion #Spark (Apache Spark) #Dimensional Data Models #REST (Representational State Transfer) #Microsoft Power BI #API (Application Programming Interface) #Data Lake #Data Architecture #SQL (Structured Query Language) #Oracle #ADF (Azure Data Factory)
Role description
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.