Data Engineer
On-siteNashville, Tennessee, United States
Job Summary
Develop governed data foundations for AI-enabled workflows, automation, dashboards, and decision support within the Data Management and BI team. Build scalable pipelines, curated datasets, and data models by converting manual processes and disconnected workflows into robust, scalable solutions. Collaborate with Product Owners, App Developers, and enterprise architecture teams to integrate multiple source systems and prepare data for agentic delivery models, AI agents, and reporting. Manage data quality, governance, testing, validation, and change management while articulating system constraints to product and support teams.
Required Qualifications
- Specific expertise/experience in data acquisition, data cleansing, parsing, validation, reconciliation, lineage, and documentation
- Specific expertise/experience in data analysis, modeling and visualization
- Specific expertise/experience in data technologies such as Google BigQuery, Teradata Vantage, Oracle, SQL Server, or other DBMS
- Specific expertise/experience in the areas of data structures and data warehousing
- Understanding of MicroStrategy, Business Objects, Power BI, or other Enterprise BI tools
- Strong experience implementing and overseeing data quality, governance, testing, validation, reconciliation, lineage, documentation, and change management processes
- Specific expertise/experience with ETL/ELT and development tools such as Teradata Protocol Transport, SSIS, Python, PowerShell, and cloud data services
- Specific expertise/experience building scalable pipelines, data models, curated datasets, and governed data products
- Experience integrating multiple source systems and preparing data for AI agents, applications, automation workflows, dashboards, and reporting
- Knowledge of Clinical and Financial Applications
- Knowledge of EMR or Practice Management Systems such as E-Clinical Works, Epic, GE Centricity, NextGen, etc
- Experience with a variety of Database Management Systems (DBMS) especially Teradata, SQL Server, Oracle, Netezza, etc
Desired Qualifications
- Experience with GCP, Python, MS SQL Server, Teradata, and BI platforms preferred
- Healthcare/provider lifecycle experience preferred, including recruiting, onboarding, credentialing, contract automation, QGenda scheduling, compensation, Flex Path, and KPI reporting
- Experience with AI, automation, agentic workflows, or decision-support products preferred
- Experience supporting agentic delivery models across business-outcome product pods
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