Community Health Systems · 5 hours ago

Clinical Data Engineer

Franklin, TN

Full-time

Remote

Entry Level

1+ years exp

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Responsibilities

Build and maintain the data pipelines that underpin the enterprise-wide clinical intelligence, analytics, and data science strategies for all of CHS.

Develop and deploy monitoring and assessment techniques to ensure robustness and quality of raw and aggregated data.

Gather requirements from key stakeholders to design, document and build data models for consumption by clinical and business owners.

Map out and maintain the clinical data framework in a logical and easily consumable manner, including multitude internal and external data inputs and types.

Partner with clinical and operational leaders to create data stores, analyses, and automated data processes that focus on improving care delivery across the enterprise.

Qualification

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Cloud Based PlatformsPythonSQLGCPETL developmentData Science principlesHealthcare data setsCloud Data WarehouseData processingData modelingData visualizationData quality assessmentData pipelinesData frameworksProject-specific data setsGCP Professional Cloud Data Engineer Certification

Required

Bachelor’s degree in technical field, including: Information Systems, Computer Science, Engineering, Data Science, or related field from an accredited university or college

One year of experience using Cloud Based Platforms (e.g. Azure, AWS, GCP) to complete advanced data processing, including implementing data pipelines for structured and unstructured data

One year of applied experience using Python & SQL to develop, test and deploy data resources for business owners (Data Science, Business Intelligence, Analytics)

Authorization to work and remain in the United States, without need for sponsorship.

SQL

Python

Cloud Data Warehouse (Redshift, BigQuery, Azure, Snowflake)

Preferred

Master’s degree in relevant field

Applied enterprise data warehouse experience, including developing and deploying data frameworks and pipelines within a cloud environment, preferably GCP

ETL development experience

Applied experience using big data, statistics and/or data science principles and processes.

Working knowledge of large healthcare data sets and structure (Clinical, Claims, Survey).

GCP Professional Cloud Data Engineer Certification