Data Engineer – Health Data Metrics
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Job Description
Mid to senior level Data Engineer at Keebler Health optimizing healthcare data infrastructure for AI solutions. Building scalable data pipelines and collaborating with stakeholders.
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 Temporal for pipeline automation.
- Work with healthcare quality metrics 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.
- 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.
- 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.
Requirements:
- Must be US based. No foreign applicants will be considered.
- 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.
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.
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