Data Engineer (Healthcare)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Engineer (Healthcare): Developing 's research analytic data infrastructure with an accent on scalable data pipelines, data governance, and high-quality dataset curation. Focus on building batch and streaming ingestion pipelines, implementing data quality frameworks, and ensuring HIPAA compliance for PHI/PII.
Location: Hybrid; must live in the Sutter footprint (California, USA)
Salary: $145,204.80 – $217,796.80 per year
Company
is a large integrated healthcare system focused on providing high-quality clinical care and advancing medical research.
What you will do
- Develop and maintain research analytic data infrastructure, covering ingestion, storage, governance, and cleansing.
- Build scalable batch and streaming data pipelines to manage high-volume data storage and retrieval.
- Curate accurate datasets for IRB-approved research studies in collaboration with Principal Investigators and statisticians.
- Implement automated testing and frameworks to ensure data quality and reliability for critical decision-making.
- Design and test new architectures for data extraction and modeling for predictive or prescriptive analytics.
- Ensure all data processes adhere to HIPAA regulations and methods for safeguarding PHI and PII.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Management, or Healthcare Administration.
- 8+ years of recent relevant experience in data engineering.
- Proficiency in SQL (T-SQL, ANSI SQL), Python, and scripting.
- Hands-on experience with big data tools including Spark, Databricks, and Cloudera.
- Strong experience with relational databases (Oracle, SQL Server) and data lake architectures.
- Must be based in California to meet hybrid onsite requirements.
Culture & Benefits
- Comprehensive total rewards program and benefits package.
- Hybrid work model combining work-from-home and onsite presence.
- Opportunity to contribute to a new strategic initiative within Research and Education.
- Regular full-time employment with a standard Monday-Friday schedule.
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