Data Engineer – Intermediate to Advanced

St. Luke's Health System•Boise, ID

1d•Onsite

About The Position

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.

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 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
Exposure to data warehousing methodologies

Nice To Haves

Some experience with Python and Databricks preferred
Some experience with REST and .NET preferable

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.