8 дней назад
Data Engineer II (Healthcare)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer II (Healthcare Data): Building and maintaining scalable data pipelines and transformation algorithms across on-premise and cloud environments with an accent on clinical data integration, ETL/ELT, and enterprise analytics. Focus on preparing data for machine learning and predictive modeling, optimizing complex queries, and ensuring data reliability, security, and quality.
Location: Miami, Florida, United States
Company
operates healthcare and clinical information environments supported by enterprise data systems.
What you will do
- Design and develop scalable end-to-end processes for consuming, integrating, and analyzing large volumes of complex data.
- Build and maintain data pipelines, transformation algorithms, and ETL/ELT flows across on-premise and cloud-based environments.
- Write efficient queries against large and disparate data sources and monitor ETL/ELT performance, storage, distribution, and security compliance.
- Deploy analytics, machine learning, and statistical methods to support data discovery, predictive modeling, prescriptive modeling, and automation.
- Integrate and support data systems while collaborating with IT, research, and medical staff.
Requirements
- Bachelor's degree in IT, Biomedical Informatics, Computer Science, Engineering, or a related field with at least 4 years of combined Clinical IT and/or Research experience, or a master's degree in a related field with at least 2 years of such experience.
- Experience in data engineering and integration, cloud data environments such as Azure or AWS, and data warehousing ETL/ELT.
- Experience developing schemas, querying, managing, or curating Oracle PL/SQL or SQL Server databases.
- Experience with Python, SQL, SSIS, or Informatica for ETL and data transformation.
- Experience with APIs or RESTful Web Services, XML, JSON, HL7, or FHIR.
- Experience with Tableau or Power BI, relational and NoSQL databases, and enterprise clinical or non-clinical systems.
Culture & Benefits
- Work in a healthcare and data environment involving IT, research, and medical stakeholders.
- Support data reliability, efficiency, quality, documentation, and knowledge sharing.
- Adapt to changes in a fast-paced healthcare and data environment.
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