Healthcare Data Engineer (Remote)

Keebler Health is a venture-backed healthcare technology startup committed to advancing Value-Based Care (VBC).  We empower providers with AI-native solutions to streamline VBC workflows, drive clinical efficiency, and improve outcomes for patients. Our products are built to enhance the productivity of healthcare teams, enabling them to focus on what matters most—quality patient care. 

We are seeking a Data Engineer to lead our efforts around reporting scalable metrics for healthcare data and AI driven suggestions.

Summary

We are seeking a skilled and motivated 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.

Key responsibilities

Data Engineering and Development

• 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.

Healthcare Data Expertise

• 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.

Optimization and Innovation

• 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.

Collaboration and Impact

• 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.
  

Required Qualifications

• 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 Skills

• 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.

What We Offer

• 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.