> Markdown version of [/jobs/ext/3807680-data-engineer](https://www.wearedevelopers.com/jobs/ext/3807680-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Insight Global - **Location:** Carmel, IN, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Mining, Python (Programming Language), Performance Tuning, Power BI, SQL Databases, Cloud Platform System, Data Ingestion, Azure Data Factory, Microsoft Fabric, Pyspark, Github Enterprise, Data Analytics, Azure Synapse Analytics - **Published:** October 17, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3454753783&tx=KL5757FFI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 3+ years of experience in a Data Engineering role, with Azure as the primary cloud platform preferred * Strong experience designing and developing data ingestion, transformation, curation, and provisioning solutions using Azure data services * Deep expertise with Azure Data Factory and Azure Synapse notebooks * Recent, hands-on experience utilizing PySpark within Azure Synapse notebooks * Extensive experience developing in Python * Strong verbal and written communication skills * GitHub Enterprise for deployment strength * Azure Monitor Service * Microsoft Fabric experience * Masters degree or PHD * Utility or Energy Experience ## Description * Design, develop, and maintain data pipelines using Azure Data Factory and Synapse Data Analytics. * Develop and optimize SQL queries for data extraction, transformation, and loading (ETL). * Collaborate with cross-functional teams to understand data requirements and deliver solutions. * Manage and optimize cloud-based data infrastructure. * Implement data governance and ensure data quality and security. * Create and maintain data models and mappings. * Perform performance tuning and optimization in Azure. * Develop Power BI visualizations to support business decision-making.