Data Engineer ADF With Databricks

Ascii Group, LLC; Hartford (CT); Hybrid; USD 96,000 - 117,000; Full time

Job summary

Ascii Group, LLC in Hartford, CT is seeking a Data Engineer (Azure Data Factory / Databricks / Snowflake) for a 12-month contract role. The position is hybrid on-site with start date 09/18/2026 and W2 pay at $72.00/hr. You will lead design and delivery of scalable data pipelines leveraging a modern data stack.

The ideal candidate has 7–10 years of experience, strong communication, and client-facing leadership in insurance/reinsurance contexts, with hands-on DevOps and AI-assisted coding tools.

Qualifications

• 7 to 10 years of dedicated experience in Data Engineering.
• Deep hands-on expertise in Azure Data Factory (ADF), Azure Databricks, and Snowflake.
• Advanced proficiency in Azure DevOps alongside GitHub Copilot, Cortex (CoCo), or Genie.

Responsibilities

• Architecture & Scalable Engineering: design, build, and optimize data services and pipelines; guide cloud-native architecture choices.
• Client & Team Leadership: lead end-to-end design, development, testing, deployment, and maintenance with clients and architects.
• Modern Data Stack Execution: develop ETL/ELT workflows using ADF, Databricks, Snowflake; enforce CI/CD and coding standards.

Skills

Data engineering

Cloud data architecture

Client-facing communication

Team leadership

Tools

Azure Data Factory

Azure Databricks

Snowflake

GitHub Copilot

Cortex Genie

Azure DevOps

Job description

Role: Data Engineer (Azure Data Factory / Databricks / Snowflake / GitHub Copilot / Cortex Genie)

Location: Hartford, CT 06120 (Hybrid Work Setup | 0% Remote Flexibility)

Duration: 12 Months (Start: 09/18/2026)

Pay Rate: $72.00/hr On W2

Note : W2 candidates apply only.

Professional Job Description

Position Overview

Seeking a Data Engineer / Senior Consultant with 7 to 10 years of experience for a 12-month contract position in Hartford, CT (Hybrid setup).

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.

Key Responsibilities

• 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.

Required Qualifications

• 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.