Data Engineer
New
C
Carilion ClinicHealthcare
Candidates residing in the following states may be considered for a remote and/or hybrid schedule: Alabama, Florida, Georgia, Arkansas, Kentucky, Louisiana, Mississippi, North Carolina, South Carolina, Tennessee, West Virginia, and Virginia. Source API remote eligibility restrictions: Denmark, Finland, Iceland, Norway, Sweden.Full-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- Minimum 2 years experience in working with enterprise data and cloud technologies.
- Required Skills
- SQLETLData engineeringData modeling
Requirements
- Bachelor’s Degree in a science discipline (preferably computer science or information systems) or equivalent work experience.
- Minimum 2 years of experience working with enterprise data and cloud technologies.
- Minimum of 2 of the following: W3Schools SQL Certification, SnowPro Core Certification, Epic Caboodle ETL Certified Administrator, DAMA CDMP Associate, Talend Data Integration Certified Developer, Talend Big Data Certified Developer, Talend Cloud Certified Administrator, Python PCEP, Python PCAP, Python PCAD, AWS Cloud Practitioner, Azure Data – Fundamentals.
- Experience with healthcare data and OMOP Common Data Model (CDM).
- Proficiency in SQL coding, including tables, views, stored procedures, and user-defined functions.
- Experience in data profiling and data quality analysis.
- Familiarity with cloud data services, dimensional databases, cubes, and columnar data structures.
- Understanding of software development concepts such as CI/CD, unit testing, and publish-subscribe architecture.
Responsibilities
- Design, deploy, and support data acquisition and integration solutions from source systems to data warehouses and data marts.
- Process raw, structured, semi-structured, and unstructured data using batch processing frameworks.
- Develop moderate to advanced SQL coding assets including tables, views, stored procedures, and user-defined functions.
- Develop and support data transformation utilizing the OMOP Common Data Model (CDM) and healthcare terminology standards.
- Perform unit and integration testing to validate healthcare data quality and OMOP data compliance.
- Create reference materials for supported data processing technologies for training purposes.
- Interface with clients, vendors, and technology teams to resolve escalated incidents and problems.
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