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# Senior ETL Developer (T-SQL, ADF, AI)

- **Company:** Resourcesoft, Inc.
- **Location:** Brecksville, OH, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Microsoft Online Services, Computer Programming, Databases, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Mining, Database Queries, Microsoft Software, Systems Development Life Cycle, Query Optimization, Transact-SQL, Enterprise Data Management, Azure Data Factory, Retrieval-Augmented Generation, Large Language Models, Deep Learning, Data Management, Data Delivery, Data Pipelines
- **Published:** November 11, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-etl-developer-t-sql-adf-ai-brecksville-oh--c8acf08d-f5df-4387-b38b-641474bfa55a

## About the Role

Database Extract Transform and Load (ETL), Artificial Intelligence (AI), Microsoft Transact-SQL (T-SQL), Database Extract Transform and Load (ETL), Microsoft Product Family, Enterprise Data Integration, Scalable System Development, Microsoft Windows Azure, Data Management, Query Optimization, * 7 or more years of experience in complex ETL data engineering and Microsoft stack development.

 * Proficiency in Azure Data Factory and building scalable enterprise data integration pipelines.
 * Experience in advanced T-SQL programming and database query optimization.
 * Experience with data engineering to support artificial intelligence and machine learning pipelines.
 * Experience in staging and transforming massive datasets for Large Language Models.
 * Experience with architecting and deploying Retrieval-Augmented Generation architectures.
 * Excellent verbal and written communication skills to collaborate with technical teams.

## Description

* Architect and implement highly scalable ETL data pipelines utilizing Azure Data Factory.
 * Engineer and optimize complex T-SQL queries to extract and transform massive datasets.
 * Stage and prepare clean enterprise data to fuel advanced machine learning and AI applications.
 * Construct robust integration pipelines to support Large Language Models and RAG architectures.
 * Optimize data extraction and loading processes across modern Microsoft cloud data environments.
 * Automate data transformation workflows to ensure high-performance data delivery for AI tools.
 * Collaborate cross-functionally with data science teams to align data engineering with AI objectives.