Data Engineer (Health Data Metrics)

Keebler Health • Durham, NC

1d

About The Position

We are seeking a skilled and motivated mid level to senior level Data Engineer to join our team and play a critical role in building and optimizing the data infrastructure that powers our healthcare AI solutions. The ideal candidate will bring expertise in modern data engineering tools and techniques, with a specific focus on healthcare quality metrics, population health, and data interoperability standards such as FHIR. Level and salary will commensurate with experience.

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.

Nice To Haves

• 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.

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 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed