OverviewCommonSpirit Health was formed by the alignment of Catholic Health Initiatives (CHI) and Dignity Health. With more than 700 care sites across the U.S. from clinics and hospitals to home-based care and virtual care services CommonSpirit is accessible to nearly one out of every four U.S. residents. Our world needs compassion like never before. Our communities need caring and our families need protection. With our combined resources CommonSpirit is committed to building healthy communities advocating for those who are poor and vulnerable and innovating how and where healing can happen both inside our hospitals and out in the community.ResponsibilitiesThis is a remote position.Job SummaryThe Associate Data Engineer will work on implementation and integration of data pipelines and applications, working closely with applications and technical teams to ensure the efficient flow of information and data. Follows plans and resolves issues in a manner that results in a successful implementation. The Associate Data Engineer may work on one or more solutions at a time that tend to be of simple to moderate complexity.The Associate Data Engineer performs troubleshooting and issue resolution for simple to moderate data pipeline applications.Job Responsibilities
Understanding of data engineering principles and best practices to build data engineering pipelines.
Demonstrate a strong understanding of relational database concepts and Cloud technologies (GCP-BigQuery, Storage, Composer, and Dataflow).
Work on small to medium-sized projects, developing data applications as a team member.
Collaborate with internal stakeholders to achieve project objectives.
Proficiency in data gathering, inspection, cleansing, transformation, and modeling techniques
Assist other data engineers with support and development tasks.
Implement, integrate, and support data pipelines and applications in collaboration with technical teams to ensure efficient data flow.
Basic knowledge of Java, Spring framework, and deployment topologies.
Experience with Cerner or EPIC systems is a plus.
Possess a solid understanding of Large Language Models (LLM), including their architecture, training methodologies, and applications in various domains such as Natural Language Processing (NLP) and text generation.
Stay updated on the latest advancements and research in LLM, particularly in the context of GCP AI technologies, to identify potential areas of integration and improvement within the organization's data ecosystem.
Familiarity with ticketing systems such as ServiceNow and JIRA.
Collaborate with cross-functional teams to identify opportunities for integrating LLM and GCP AI technologies in existing data pipelines, applications, and processes, to improve overall operational efficiency and drive innovation.
Excellent communication skills and the ability to work effectively in both individual and geographically dispersed team environments.
Qualifications
Requires a bachelor's degree in Computer Science, Technology, Medical, or Business discipline or equivalent experience.
0-2 years relevant experience required
2+ Years preferred
0-2 years of experience in Data Engineering.
0-2 years experience with scripting(Shell, Python)
0-2 years experience in cloud technologies like GCP, AWS or Azure.
0-2 years experience in implementing data engineering pipelines using GCP technologies like BigQuery, Dataflow , Composer, Vertex AI.
#LI-Remote#LI-CSHPay Range$33.60 - $48.73 /hourWe are an equal opportunity/affirmative action employer.