$89,946 + depending on qualifications; not specifi...
Hybrid
Designing, building, and maintaining data pipelines
Etl processes
Sql and cloud technologies
Dell Medical School is seeking a Data Engineer II responsible for designing and maintaining data pipelines and infrastructure. The ideal candidate will have experience in data engineering, particularly with large datasets, and will contribute to complex data projects in a collaborative environment
Job Summary
The Data Engineer II is responsible for designing, building, and maintaining robust data pipelines and infrastructure that enable the collection, storage, and processing of large datasets.
This role involves maintaining and optimizing data pipeline architecture by designing, building, and managing ETL processes that extract, transform, and load data from diverse sources.
Ensures data governance and security by validating data for accuracy and consistency, and maintaining secure, compliant data environments, following best practices and regulatory standards like HIPAA.
Matching Summary
Match Score: 85
Dell Medical School is seeking a Data Engineer II responsible for designing and maintaining data pipelines and infrastructure. The ideal candidate will have experience in data engineering, particularly with large datasets, and will contribute to complex data projects in a collaborative environment.
Salary
$89,946 + depending on qualifications; Not specified; Not specified
Skills & Requirements
Must-have
designing, building, and maintaining data pipelines
ETL processes
SQL and cloud technologies
Python (especially using PySpark)
workflow orchestration tools like Apache Airflow
version control systems for managing codebases
Nice-to-have
experience with healthcare or clinical data
familiarity with electronic health record (EHR) systems
experience using tools like REDCap
develop data visualizations for non-technical stakeholders
analytical skills and statistical knowledge
Key Requirements
Bachelor's Degree in Computer Science, Information Systems, Data Science, or related field
At least 4 year(s) of experience in data engineering
Proven track record in database development using Python and SQL
Master's Degree in Computer Science, Data Engineering, Informatics, or related field
At least 7 year(s) of experience in healthcare data engineering or enterprise data systems