Data Engineer
Data Engineer
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Job Description
The SER Development & Testing team within the Electronic Health Record/Revenue Cycle Management (EHR/RCM) system division is seeking a Data Engineer to provide technical guidance and support for new and existing software solutions. These solutions are developed for EHR/RCM integrations and workflows in collaboration with the Center for Digital Health and our vendor partner Palantir. The Data Engineer will leverage strong analytical skills and a commitment to customer service to identify and recommend solutions as part of a crossfunctional team. The successful candidate will possess excellent verbal and written communication skills attention to detail and a high capacity for learning and problem resolution. The incumbent will manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. The ideal candidate will demonstrate the following technical skills:
- Working knowledge of Epic Clarity and Google BigQuery
- Advanced experience in SQL
- Developing and maintaining data pipelines data storage and analytics solutions
- Experience using scripting languages like Python
- Working knowledge of HL7 and FHIR interfaces to help troubleshoot issues
- Experience in hybrid data processing methods (batch and streaming) that make use of technologies such as Apache Beam/Dataflow Pub/Sub is preferred.
- Experience in DevOps and agile methodologies is preferred.
- Epic and Google Cloud Platform (GCP) certification is preferred.
This role is a 2year Limited Tenure position and is required to participate in a 24/7 oncall rotation.
This is a full time remote position within the United States. Mayo Clinic will not sponsor or transfer visas for this position including F1 OPT STEM.
Qualifications
Bachelors degree in Computer Science or Engineering from an accredited University or College; OR an Associates degree in Computer Science or Engineering from an accredited University or College with 2 years of ability to analyze and profile data as a means to address various business problems through leveraging advanced data modeling source system databases or data mining techniques is required. May provide consultative services to departments/divisions and committees. Demonstrated application of several problemsolving methodologies planning techniques continuous improvement methods and analytical tools and methodologies (e.g. data analysis data profiling modeling etc.) required. Incumbent must have ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills and time management skills are required. Requires strong analytical skills and the ability to identify and recommend solutions advanced computer application skills and a commitment to customer service. Experience with data analysis quality and profiling; including data exploration tools including but not limited to Rapid SQL AQT Information Analyzer and Informatics.N/A
Employment Type
Full-Time
