DESCRIPTION & REQUIREMENTS

Data Engineer – Intermediate to Advanced

St. Luke’s Health System is seeking a Data Engineer to join our Master Data Management team. In this role, you’ll be integral in developing innovative 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.

Required Criteria:

• Education: Bachelor's degree or 4 years of relevant experience in lieu of degree
• Experience: Minimum of 4 years related experience

Responsibilities:

• Design, implement, and maintain data management capabilities including 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 deployment.
• Utilize data quality techniques for data 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.
• Test new software products/updates; working with other members of the Master Data Management team and business partners to improve usability and recommend improvements.
• Identify technical solutions that achieve efficiency and effectiveness and enable data usage as a strategic, business asset.

Experience:

• Strong SQL experience, writing queries and stored procedures
• Experience with database management systems including performance optimization, tuning, and security
• Capability to develop data warehouse data models
• Development experience with Microsoft SQL Server Integration Services
• Some experience with Python and Databricks preferred
• Exposure to data warehousing methodologies
• Some experience with REST and .NET preferable

About St. Luke's:

A strong, talented staff is at the heart of St. Luke’s Health System. We are the state’s largest employer with more than 13,500 employees and a medical staff of more than 1,800 physicians and advanced practice clinicians. Our employees are dedicated to impacting the lives of those in our community while pursuing a life-changing career at St. Luke’s. Our staff is the reason for our outstanding reputation as both a quality employer and superior healthcare organization. We’re proud of our people who deliver skilled, compassionate care every day, and are looking to add dedicated individuals who will continue in the same tradition of excellence.

*St. Luke’s is an equal opportunity employer and does not discriminate against any person on the basis of race, religion, color, gender, gender identity, sexual orientation, age, national origin, disability, veteran status, or any other status or condition protected by law.

WHAT'S IN IT FOR YOU

At St. Luke’s, caring for people in the communities we serve is our mission – and this includes our own SLHS team. We offer a robust benefits package to support our teams both professionally and personally. In addition to a competitive salary and retirement plans, we ensure our team feels supported in their benefits beyond the typical medical, dental, and vision offerings. We care about you and have fantastic financial and physical wellness options, such as: on-site massages, on-site counseling via our Employee Assistance Program, access to the Personify Health Wellness tool, as well as other formal training and career development offerings to ensure you are meeting your career goals.

*Please note: this posting is not reflective of all job duties and responsibilities and is intended to provide an overview to job seekers.

GENERAL INFORMATION

Department: Data And Analytics System Office
Job ID: 158987
City: Boise
State: ID
Category: Data & Analytics