Data Engineer-Nordic OMOP

Carilion Clinic
United States
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Amazon Web Services Big Data Cloud Computing Cloud Database Information Systems Databases Data Integration Extract Transform Load (ETL) Data Profiling Data Structures Python (Programming Language) Pcap
+6 more
SQL Databases Talend Enterprise Data Management Azure Data Factory Information Technology Epic Caboodle

Requirements

nEducation: Bachelor’s Degree in a science discipline preferably computer science or information systems; or equivalent work experience. \n \n \nExperience: Minimum 2 years experience in working with enterprise data and cloud technologies. \n \n \nLicensure, Certification, and/or Registration: A minimum of 2 of the following certifications are required: 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 \n \n \nOther Minimum Qualifications: Good organizational skills, analytical, dependable, detail oriented, interpersonal skills, and written/oral skills. Data profiling and data quality analysis experience preferred. Cloud data services, dimensional databases, cubes and columnar data structures experience preferred. Must have excellent problem-solving skills and be customer service oriented. \n

Benefits & conditions

The Data Engineer designs, deploys and supports data acquisition and data integration solutions from source systems to the data warehouse and data marts for business intelligence, healthcare analytics, and AI solutions such as dashboards, scorecards, reports and self-service analytics. Sources data from operational and clinical systems with integration and subsequent and secondary transformation, including experience with healthcare data and the OMOP Common Data Model (CDM). Supports end-user web-based presentation layers and the underlying technology layers including data models, dimensional databases, cubes, AI/GenAI data pipelines and security infrastructure. \n The Data Engineer II \n \n Gathers and processes raw, structured, semi-structured, and unstructured data using batch processing frameworks, including healthcare and clinical data used for analytics, OMOP, and AI Solutions. \n \n Develops moderate to advanced SQL coding assets including tables, views, stored procedures, user defined functions in collaboration with the Data Analyst and BI Developer while adhering to technical solution standards and demonstrating flexibility when required. Develops and supports data transformation utilizing the OMOP Common Data Model (CDM) and healthcare terminology standards. \n \n Develops and utilizes data testing processes to complete both unit testing and integration testing, collaborating with team members, to validate data solutions, including healthcare data quality and OMOP data validation. \n \n Independently develops reference materials (database diagrams, flow charts, script documentation, etc.) for supported data processing technologies to be used for both online and in-person training of other technical staff. \n \n Manages assigned projects and meets deadlines with minimal supervision from supervisor and/or manager. \n \n Assists senior data engineers by creating training material for use in end-user training programs as well as development of team members \n \n Serves as a technical mentor to other Data Engineers. \n \n Interfaces with clients, vendors, and multiple technology teams while providing resolution to incidents and problems as escalated from the Technology Service Center. \n \n Understands basic root cause analysis skills and techniques and performs such tasks with little to no assistance from senior data engineers. \n \n Understands commonly used software development concepts (CI/CD, unit testing, publish-subscribe architecture, REST interfaces, etc.) and able to assist senior data engineers. Applies these concepts to modern healthcare data platforms and data pipelines supporting AI and Generative AI solutions. \n \n, n Carilion understands the importance of prioritizing your well-being to help you develop and thrive. That’s why we offer a well-rounded benefits package, and many perks and well-being resources to help you live a happy, healthy life - at work and when you’re away. \n \n When you make your tomorrow with us, we’ll enhance your potential to realize the best in yourself. Below are benefits available to you when you join Carilion: \n \n \n \n

  • Comprehensive Medical, Dental, & Vision Benefits \n
  • Employer Funded Pension Plan, vested after five years (Voluntary 403B) \n
  • Paid Time Off (accrued from day one) \n
  • Onsite fitness studios and discounts to our Carilion Wellness centers \n
  • Access to our health and wellness app, Personify Health \n
  • Discounts on childcare \n
  • Continued education and training \n

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