Data Engineer (Health Data Metrics) jobs in United States
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Keebler Health · 1 week ago

Data Engineer (Health Data Metrics)

Keebler Health is building the operating system for value-based care, aiming to empower healthcare organizations with data insights. The Data Engineer will play a critical role in optimizing data infrastructure and ensuring compliance with healthcare standards while collaborating with teams to enhance data workflows.

Artificial Intelligence (AI)BillingInformation Technology
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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 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

Qualification

SQLPythonAWSDbtFHIRData warehousingHealthcare quality metricsPopulation health toolsHIPAA complianceProblem-solvingAttention to detail

Required

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

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.

Company

Keebler Health

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Keebler Health is a developer of an AI-based risk adjustment tool for healthcare providers.

Funding

Current Stage
Early Stage
Total Funding
$6M
Key Investors
New Stack Ventures
2025-02-18Seed· $6M
2023-08-08Pre Seed

Leadership Team

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Isaac Park
Chief Executive Officer, Co-Founder
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Andrew Stickney
Co-Founder Keebler Health
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Company data provided by crunchbase