Job Summary

The Data Engineer will help our communities thrive by contributing to the growth of our modern data platform through the design and development of scalable data pipelines. In this role, you will collaborate with cross-functional teams to deliver reliable, high-quality data solutions that directly support patients, providers, and the business.

While growing at an accelerated rate, we support the health journey of patients by authentically living our values: Purpose Driven, Relationships Matter, Serve Others First, and Inspire Creativity. We have been recognized as a Top Workplace by The Dallas Morning News for five consecutive years. If you love serving others and would like to make a material difference in an industry-transforming organization, we invite you to apply.

Role and Responsibilities:

Design, build, and maintain scalable data pipelines (ETL/ELT) to support analytics, reporting, and operational needs.
Collaborate with senior Data Engineers, BI developers, and analysts to develop robust, efficient, and well-documented data solutions.
Contribute to architecture discussions and data flow design, ensuring best practices for performance, quality, and scalability.
Optimize SQL queries, data models, and ETL processes for performance and efficiency.
Implement testing, monitoring, and error handling for production-grade pipelines.
Ensure data quality, lineage, and documentation across subject areas.
Partner with business stakeholders to translate requirements into technical solutions.
Work with cloud-based data sources, including structured, semi-structured, and unstructured data.

Minimum Qualifications and Requirements:

Bachelor's Degree in Computer Science, Engineering, MIS, or related field.
35 years of experience as a Data Engineer, Database Developer, BI Developer, ETL/ELT Developer, or similar role.
Strong SQL skills, including query optimization and data modeling (relational and/or dimensional).
Hands-on experience with ETL/ELT design and development (SSIS, ADF, dbt, Informatica or similar).
Proficiency in at least one programming language (Python, C#, Java, or Spark).
Familiarity with modern data warehouse technologies (Snowflake, Azure Synapse, AWS Redshift, etc.).
Experience with Agile methodologies and version control (Git).
Demonstrated ability to troubleshoot SQL Server, Windows Server, and related environments.
Familiarity with CI/CD practices for data pipelines (e.g., GitHub Actions, Azure DevOps).
Awareness of data governance, privacy, and compliance best practices (HIPAA/PHI preferred).

Preferred Experience:

Healthcare data experience (EHR, payer, claims, pharmacy, or other healthcare systems).
Experience optimizing data pipelines for large-scale or high-performance environments.
Familiarity with BI and visualization tools (Power BI, Tableau).
Knowledge of containerization and orchestration tools (Docker, Kubernetes).
Experience with data testing, monitoring, and validation frameworks.
Relevant certifications (Azure, Microsoft, Snowflake, or other data engineering certifications).

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