Senior Data Engineer – Azure, Databricks & Snowflake (Hybrid)

Expedite Talent Solutions; Hartford (CT); Hybrid; USD 120,000 - 150,000; Full time

Job summary

Expedite Talent Solutions is seeking a Data Engineer for a 12-month contract in Hartford, CT. This role requires visa-independent candidates only and offers a hybrid work setup.

You will design scalable data pipelines, guide architectural choices, and work closely with clients and architects for end-to-end delivery. Ideal candidates have 8–10 years of data engineering experience, strong Azure Data Factory, Databricks and Snowflake skills, and proficiency with Azure DevOps.

Qualifications

• 8-10 years of data engineering experience with Azure Data Factory, Databricks and Snowflake.
• Proficient in Azure DevOps and modern data engineering tools.
• Experience with AI tools: GitHub Copilot, Cortex(CoCo)/Genie for code assist.

Responsibilities

• Design and maintain scalable data pipelines and services.
• Guide architecture choices using cloud services and methodologies.
• Collaborate with clients and architects for end-to-end design and delivery.
• Provide testing and ensure code quality, documentation as required.

Skills

Databricks

ADF

Snowflake

GitHub Copilot

Cortex (CoCo)Genie

Azure Devops

Job description

Expedite Talent Solutions is seeking a Data Engineer for a 12-month contract in Hartford, CT. This role requires visa-independent candidates only and offers a hybrid work setup.

You will design scalable data pipelines, guide architectural choices, and work closely with clients and architects for end-to-end delivery. Ideal candidates have 8–10 years of data engineering experience, strong Azure Data Factory, Databricks and Snowflake skills, and proficiency with Azure DevOps.