Keebler Health ยท 2 days ago
Healthcare Data Engineer
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Responsibilities
Design, build, and maintain scalable, efficient data pipelines for ETL/ELT processes on AWS.
Develop, test, and deploy robust solutions using SQL and Python for data transformation and analysis.
Implement and manage data warehousing solutions using Redshift Serverless and other AWS data services.
Leverage dbt (Data Build Tool) for data modeling, transformation, and documentation.
Utilize workflow orchestration tools such as Argo or Kubeflow Pipelines for pipeline automation.
Work with healthcare quality metrics such for value-based care and ensure data alignment with industry standards.
Collaborate with stakeholders to integrate population health tools and analytics into data workflows.
Develop and maintain familiarity with FHIR data models and healthcare interoperability standards for seamless integration of healthcare data sources.
Ensure compliance with HIPAA and other healthcare regulatory requirements in all data handling processes.
Identify and resolve performance bottlenecks in data pipelines, ensuring high availability and reliability.
Optimize data storage and querying performance within Redshift Serverless and AWS infrastructure.
Stay current with emerging trends in data engineering and healthcare technology, incorporating innovations into the data ecosystem.
Partner with data and engineering teams to ensure data is accessible and meets business requirements.
Develop scalable solutions for integrating complex healthcare datasets, ensuring data quality and accuracy.
Contribute to the design and implementation of secure, scalable, and efficient data architecture on AWS.
Qualification
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Required
Proven experience in data engineering roles with expertise in SQL, Python, and cloud-based data infrastructure.
Experience with dbt for data transformation and modeling.
Familiarity with healthcare data systems, including HEDIS metrics, population health tools, and FHIR data models.
Knowledge of data warehousing and workflow orchestration tools.
Preferred
Strong understanding of healthcare data standards, including HL7 and CQL.
Hands-on experience with AWS services, specifically Redshift Serverless, S3, Lambda, and related tools.
Experience with HIPAA-compliant data architectures.
Demonstrated ability to optimize data pipelines and improve system performance in cloud environments.
Strong problem-solving skills and attention to detail in handling complex datasets.
Benefits
Competitive salary and benefits package.
Opportunity to work in a fast-paced, innovative environment.
Professional growth and development opportunities.
Collaborative and supportive team culture.
Chance to make a meaningful impact on the healthcare industry.