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# Data Engineer (Azure Data Factory / Databricks )

- **Company:** Ascii Group, LLC
- **Location:** Hartford, CT, United States
- **Experience:** Expert
- **Salary:** $149,760.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Applications Architecture, ARM Architecture, Automation of Tests, Microsoft Azure, Code Generation, Continuous Integration, Data as a Services, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, DevOps, Rapid Prototyping Process, Software Tools, Reverse Engineering, User-Centered Design, Azure Data Factory, GitHub Copilot, Snowflake, Software Coding, Databricks
- **Published:** September 18, 2026
- **Apply:** https://www.dice.com/job-detail/1e708ae6-14b2-403e-a840-f89b1f1430f6

## About the Role

The ideal candidate will specialize in designing highly available, scalable, and optimized data solutions using Azure Data Factory (ADF), Azure Databricks, and Snowflake.
This is a client-facing lead role requiring hands-on expertise with AI-assisted engineering tools (GitHub Copilot, Cortex/CoCo, Genie) for code creation, reverse engineering, and productivity enhancement, preferably within the Insurance / Reinsurance domain., * Core Experience: 7 to 10 years of dedicated experience in Data Engineering.

 * Core Tech Stack: Deep hands-on expertise in Azure Data Factory (ADF), Azure Databricks, and Snowflake.
 * DevOps & AI Tools: Advanced proficiency in Azure DevOps alongside practical experience using GitHub Copilot, Cortex (CoCo), or Genie.
 * Domain & Soft Skills: Strong client-facing communication skills and team leadership; Insurance / Reinsurance domain background is highly preferred.

## Description

Seeking a Data Engineer / Senior Consultant with 7 to 10 years of experience for a 12-month contract position in Hartford, CT (Hybrid setup)., * Architecture & Scalable Engineering: Design, build, and optimize highly available, scalable, and efficient data services, applications, and pipelines; guide architectural choices using cloud-native solution methodologies.

 * Client & Team Leadership: Work closely with clients, enterprise architects, and development teams to align application architecture and lead end-to-end design, development, testing, deployment, and maintenance.
 * Modern Data Stack Execution: Develop robust ETL/ELT workflows leveraging Azure Data Factory, Databricks, and Snowflake; enforce coding standards, CI/CD via Azure DevOps, and project guidelines to ensure code integrity.
 * AI-Driven Productivity: Leverage AI productivity tools (GitHub Copilot, Cortex/CoCo, Genie) for pseudo-code generation, rapid prototyping, reverse engineering, and automated testing delivery.


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