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Motion Recruitment is seeking an experienced Data Engineer to build and scale an Azure-based data platform in a hybrid Dallas environment. You will work with Azure Data Factory, Snowflake, Terraform, and data transformation tools to deliver enterprise data pipelines.
The role focuses on building scalable, reliable data solutions, data modeling, and governance while partnering with leadership to shape the future state of the data ecosystem across the organization.
Hybrid opportunity located in North Dallas with a leading healthcare services organization that supports thousands of patients and providers across the country. This is a full-time position focused on building and scaling a modern Azure-based data platform using Azure Data Factory (ADF), Snowflake, Terraform, and data transformation tools such as dbt or SQLMesh. The team is investing heavily in enterprise data modernization and centralized reporting capabilities.
This is an opportunity to have a direct impact on a large-scale data transformation initiative. The organization is consolidating data from acquisitions and disparate systems into a centralized data warehouse while launching numerous new data products across the business. They are seeking an experienced engineer who enjoys building data pipelines from the ground up, working across both platform and data engineering disciplines, and helping establish scalable, reliable, and maintainable data solutions. You’ll partner with a highly regarded technical leadership team and play a key role in shaping the future state of the enterprise data ecosystem.
Tech Breakdown
45% Azure Data Factory & Data Integration
25% Snowflake & Data Modeling
15% Terraform, CI/CD & Platform Engineering
15% Data Quality, Governance & Architecture
Daily Responsibilities
80% Hands-On Engineering
10% Team Collaboration
10% Architecture & Planning
You will receive the following benefits:
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.