Senior Data Engineer

4 weeks ago


Reno, Nevada, United States Renown Regional Medical Center Full time
Job Summary:

Renown Regional Medical Center is seeking a highly skilled Senior Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining a Microsoft Azure-based enterprise data warehouse. Your expertise will be crucial in architecting and implementing data pipelines, ensuring data accuracy, and optimizing data environments to support the work of data scientists and analysts.

Key Responsibilities:

Collaborate with data scientists to build full technology stacks for commercialization purposes, including PaaS, IaaS, SaaS, operations, and management.
Manage and optimize the movement and validation of data from the Epic EMR system to our Enterprise Data Warehouse (EDW).
Oversee the development of novel data pipelines that integrate and normalize large data from various sources, enabling learning health, machine learning model development, and deployment.
Design, direct, and implement ETL processes, including data capture, data quality, testing, and validation methods.
Provide guidance on synchronizing the Epic EMR data architecture with customized data models that facilitate reporting and analytics.
Build processes and diagnostic tools to troubleshoot, maintain, and optimize engineering environments and respond to production issues.
Develop documentation, such as data dictionaries, guides, or data flow diagrams, to assist staff in identifying, locating, and using our organization's data.

Requirements:

Minimum of 10 years of experience in data management, data engineering, or data architecture, with at least 5 years working in enterprise data warehouse development.
Proficiency in SQL and experience with HL7, X12, and/or XML and OPENLink.
Ability to obtain Epic Systems Caboodle and Clarity Development Certificates and relevant data model badges within 12 months of hire.
Strong understanding of cloud-based platforms, including Microsoft Azure, and experience with big data platform services, serverless architectures, Hadoop ecosystem, vendor products, RDBMS, DW/DM, NoSQL databases, and security.
Excellent communication and collaboration skills, with the ability to provide subject matter expertise and hands-on delivery of data capture, curation, and consumption pipelines for Microsoft Azure.

What We Offer:

Competitive salary and benefits package.
Opportunities for professional growth and development in a dynamic and innovative environment.
Collaborative and supportive team environment.
Recognition and rewards for outstanding performance and contributions to the organization.

How to Apply:

Interested candidates should submit their resume and cover letter to [insert contact information]. We look forward to hearing from you
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