Data Engineer, Healthcare Research & Big Data Platforms

Charleston Area Medical Center, Inc.; Charleston (WV); On-site; USD 90,000 - 120,000; Full time

Job summary

Charleston Area Medical Center, Inc. in Charleston, WV is seeking a Data Engineer to design, build and maintain databases and cloud platforms to support CAMC Research initiatives.

You will collaborate with cross-functional teams to move projects forward, develop documentation to locate and use data, and build datasets and data marts while automating data operations. Experience with SQL, ETL, health data, and leadership of junior staff is preferred to contribute to innovative medical

Qualifications

• Master's or Bachelor's with healthcare data warehousing/ETL experience required.
• Knowledge of SQL, SPSS, SAS, MySQL, and Cerner.
• Experience with statistical analysis tools and programming for data applications.

Responsibilities

• Design, build & maintain databases and cloud platforms for CAMC Research.
• Collaborate with teams to move projects forward and improve systems and processes.
• Develop documentation to help staff locate and use data.
• Build datasets and data marts and automate data operations.
• Provide leadership and technical expertise for big data repositories.
• Transform and integrate health data for research analysis.
• Ensure accountability for project deliverables.
• Train junior team members and stay current with new developments.

Skills

Analytical thinking

Communication

Education

Master's degree in Computer Science/Information Systems/Health Informatics or related field

Bachelor's degree in Computer Science/Information Systems/Health Informatics or related field with 5 years healthcare data warehousing/ETL experience

Tools

SQL

SPSS

SAS

MySQL

Cerner

ETL techniques

Data warehousing

Job description

Charleston Area Medical Center, Inc. in Charleston, WV is seeking a Data Engineer to design, build and maintain databases and cloud platforms to support CAMC Research initiatives.

You will collaborate with cross-functional teams to move projects forward, develop documentation to locate and use data, and build datasets and data marts while automating data operations. Experience with SQL, ETL, health data, and leadership of junior staff is preferred to contribute to innovative medical