Data Engineer building pipelines and data models on Snowflake or Databricks in Microsoft Azure. Ingests data from external sources via Azure Service Bus and migrates from SnowMirror to cloud-native tools. Delivers analytics through Power BI and Sigma; uses Python and Agile tools (Jira, ServiceNow, Azure DevOps).
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Snowflake / Databricks Data Engineer based in the United States.
This is an opportunity for an experienced Data Engineer to help build and maintain modern, scalable data solutions that turn raw information into trusted, business-ready assets. Working within a fast-paced, agile environment, you will contribute to enterprise-wide data integration and cloud modernization initiatives. The role focuses on leveraging Snowflake, Databricks, and Microsoft Azure to develop reliable pipelines, robust data models, and authoritative data sources. You will collaborate with technical teams and business stakeholders to support data commercialization, strategic decision-making, and AI-driven insights. Your work will also help expand self-service analytics capabilities while improving data accessibility, integrity, and overall value across the organization.
How Jobgether works:
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We appreciate your interest and wish you the best!
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