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# Data Engineer-Hybrid Schedule

- **Company:** St. Lukes Health System
- **Location:** Boise, ID, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Unit Testing, Databases, Data Architecture, Data Infrastructure, Extract Transform Load (ETL), Data Profiling, Data Warehousing, Database Queries, Microsoft SQL Server, Performance Tuning, Standard Sql, SQL Server Integration Services, Data Streaming, Enterprise Data Management, Usage Tracking, Microsoft Fabric, Integration Tests, Data Analytics, Data Management, Epic Caboodle, Data Pipelines, Databricks
- **Published:** July 18, 2026
- **Apply:** https://dejobs.org/x/x/49AF1C720F264B52A0339F58B3A8AB12/job/

## About the Role

As a Data Engineer on our Data Management team, you will build and maintain scalable data solutions that support enterprise analytics, reporting, and operational decision-making. You'll work with modern data platforms to create reliable, high-quality data products that enable a single source of truth across St. Luke's. The ideal candidate is a curious self-starter with strong analytical and communication skills who enjoys solving complex problems and delivering solutions that have a measurable impact on the organization.

Required Criteria:

 * Education: Bachelor's degree or 4 years of relevant experience in lieu of degree
 * Experience: Minimum of 0-2 years related experience, * Strong SQL experience writing queries, creating tables, and performing updates
 * Experience with ETL development using SSIS and Databricks notebooks
 * Experience with Databricks and Microsoft SQL Server
 * Experience with database management systems including performance optimizing and tuning and security
 * Capability to develop data warehouse data models
 * Exposure to data warehousing and lake house methodologies
 * Some experience with REST and .NET preferred

## Description

* Design, implement, and maintain data management capabilities including the enterprise data platform; its associated data models, ETL processes, and data architecture requirements
 * Develop and administer data management solutions on various platforms including Databricks, Data Fabric, SQL Server, and Epic Caboodle
 * Build cross functional relationships with data analytic teams and business leaders to understand information needs, data flows, and data quality considerations to enable solution design and deployment
 * Utilize data profiling and data quality techniques for requirements validation, unit testing, and automated integration testing. Implement frameworks for automated and scripted testing
 * Contribute to improving solution stability, reliability, efficiency, and quality
 * Work with architects to implement solutions in alignment with standards
 * Identify technical solutions that achieve efficiency and effectiveness and enable data usage as a strategic, business asset
 * Is available to support solutions as required by the business need


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