Data Engineer (ADF / Snowflake / Terraform

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., 6+ years of Data Engineering experience Strong experience with Azure Data Factory (ADF) Hands-on experience with Snowflake Experience building and maintaining enterprise-scale data pipelines Strong SQL and data modeling skills Desired Skills & Experience Azure cloud architecture experience Enterprise data warehouse modernization experience Experience building analytics-ready data products Data governance, security, and quality framework experience Strong communication and stakeholder management skills, Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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

The Offer You will receive the following benefits: Medical, Dental, and Vision Insurance Vacation Time Retirement Benefits Professional Development Opportunities

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.