Data Engineer - St Luke’s Health Partners

St. Luke's Health System•Boise, ID

About The Position

Data Engineer - St Luke’s Health Partners Do you like working on things that positively impact the health of your friends, family, neighbors, and community? St Luke's Health Partners has pioneered and proven a true value-based care network, making the healthcare in Idaho better for all of us. St Luke's Health Partners (SLHP) is uniquely qualified to and accountable for providing the best possible health care at the lowest total cost. St. Lukes’ Data and Analytics Department (D&A) is seeking to hire a Data Engineer to support St Lukes Health Partners. As a key member of our Health Partners’ D&A team, you will be integral in developing innovative data solutions for business-critical data that is shared across the enterprise and collectively represents a “single source of truth.” The ideal candidate for this position would have great communication skills, be a curious self-starter, have great analytical and problem-solving skills, and have a passion for delivering technical solutions that enable time-sensitive, critical decisions.

Requirements

Bachelor's degree or 4 years of relevant experience in lieu of degree
Minimum of 4 years related experience
Strong SQL experience writing queries, creating tables, and performing updates.
Experience with Azure Databricks
Exposure to data warehousing methodologies and data model development.

Nice To Haves

Experience with Microsoft Fabric, Microsoft SQL Server, Power BI and Epic is a plus.
Experience with database management systems including performance optimizing and tuning and security.
Some experience with REST and .NET preferred.

Responsibilities

Design, implement, and maintain data management solutions including the enterprise data platform; its associated data models, ETL processes, and data architecture requirements.
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.