Senior Data Engineering Consultant — Hybrid (Azure/Databricks/Snowflake)

Ampcus, Inc; Hartford (CT); Hybrid; USD 130,000 - 170,000; Full time

Job summary

Ampcus, Inc in Hartford, CT is seeking a senior Data Engineer to design scalable data pipelines using Databricks and Snowflake. You will collaborate with clients and architects, guiding end-to-end design, development, testing, deployment and maintenance of data solutions.

Required 8–10 years in data engineering, proficiency with Azure DevOps, and experience with AI tools like GitHub Copilot/Cortex/Genie to boost productivity. Hybrid work setup for a 12-month contract.

Qualifications

• 8–10 years of data engineering experience with Azure Data Factory, Databricks and Snowflake.
• Proficient in Azure DevOps and modern data engineering practices.
• Experience with AI tools like GitHub Copilot and Cortex/Genie for productivity.

Responsibilities

• Design highly available, scalable, efficient, optimized data services and applications.
• Guide architectural choices using various services and solution methodologies.
• Collaborate with clients and architects for end-to-end design, development, testing, deployment and maintenance.

Skills

Databricks

ADF

Snowflake

GitHub Copilot

Cortex (CoCo)Genie

Tools

Azure DevOps

JIRA

Job description

Ampcus, Inc in Hartford, CT is seeking a senior Data Engineer to design scalable data pipelines using Databricks and Snowflake. You will collaborate with clients and architects, guiding end-to-end design, development, testing, deployment and maintenance of data solutions.

Required 8–10 years in data engineering, proficiency with Azure DevOps, and experience with AI tools like GitHub Copilot/Cortex/Genie to boost productivity. Hybrid work setup for a 12-month contract.