CHI

Associate Data Engineer

Job description

Overview

CommonSpirit 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.

The 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.

Responsibilities

  • Works on small to medium projects to develop data applications as a team member.
  • Assists other data engineers on support and development.
  • Collaborates with internal stakeholders.
  • Understanding of relational database concepts with a solid knowledge of star schema, SQL Tuning, OLAP, BigQuery, SnowFlake.
  • Intermediate to advanced skills in python
  • Understanding of data engineering principles and best practices to implement data engineering pipelines.
  • Experience in Cerner or EPIC is bonus
  • Familiarity with cloud services platforms like GCP,Azure and hands-on experience developing and deploying data engineering products on these platforms.
  • Expert in working with large databases, BI applications, data quality, and performance tuning.
  • Excellent communication skills, ability to work individually and in a broader geographically dispersed team
  • Understanding of data gathering, inspecting, cleansing, transforming, and modeling.
  • Remote eligible.


The job summary and responsibilities listed above are designed to indicate the general nature of the work performed within this job. They are not designed to contain or be interpreted as a comprehensive inventory of all job responsibilities required of employees assigned to this job. Employees may be required to perform other duties as assigned.

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.


Pay Range

$35.28 - $51.16 /hour

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