Data Engineer – Health Data Metrics

Keebler Health

Data Engineer building AWS data pipelines and healthcare quality metrics infrastructure for Keebler Health’s value-based care platform. Integrating FHIR, population health, and HIPAA-compliant data systems.

Posted 9/3/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable ETL/ELT data pipelines on AWS, utilizing SQL and Python for data transformation and analysis. Proficient in implementing data warehousing solutions and ensuring compliance with healthcare regulations while optimizing data performance and quality.

Highest-signal resume keywords

AWS Data InfrastructureSQL and Python ProgrammingData Warehousing SolutionsDbt and Spark/PySparkHIPAA Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL/ELT Data PipelinesData ModelingData TransformationSchema DesignData NormalizationPerformance OptimizationWorkflow OrchestrationData Quality AssuranceInfrastructure as CodeHealthcare Data Standards

Soft Skills

Problem-SolvingAttention to Detail

Tools & Technologies

AWS GlueRedshift ServerlessDbtSpark/PySparkTemporalAirflowDagsterS3LambdaEMR

Industry Keywords

Healthcare Data SystemsHEDIS MetricsPopulation Health ToolsFHIR Data ModelsHL7 StandardsCQL Standards

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSCloudETLPandasPySparkPythonSparkSQLTerraform

About the role

Key responsibilities & impact

Lead efforts around reporting scalable metrics for healthcare data and AI-driven suggestions
Design, build, and maintain scalable, efficient ETL/ELT data pipelines on AWS
Develop, test, and deploy solutions using SQL and Python for data transformation and analysis
Implement and manage data warehousing solutions using Redshift Serverless and other AWS data services
Use dbt for data modeling, transformation, and documentation
Use workflow orchestration tools such as Temporal for pipeline automation
Work with healthcare quality metrics for value-based care and align data with industry standards
Integrate population health tools and analytics into data workflows with stakeholders
Maintain familiarity with FHIR data models and interoperability standards
Ensure compliance with HIPAA and other healthcare regulations
Identify and resolve data pipeline performance bottlenecks
Optimize data storage and query performance in Redshift Serverless and AWS
Incorporate emerging data engineering and healthcare technology innovations
Partner with data and engineering teams to ensure data accessibility and business alignment
Develop scalable solutions integrating complex healthcare datasets while ensuring data quality and accuracy
Contribute to secure, scalable, and efficient AWS data architecture

Requirements

What you’ll need

Must be US based; no foreign applicants will be considered
Proven experience in data engineering roles with expertise in SQL, Python, and AWS cloud-based data infrastructure
Experience with dbt and Spark/PySpark 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
Strong understanding of healthcare data standards, including FHIR, HL7, and CQL
Hands-on experience with data modeling, normalization, and schema design for complex datasets
Experience designing and building scalable, production-grade data pipelines using Airflow, Dagster, or Temporal
Hands-on experience with AWS Glue, EMR, Iceberg, Redshift Serverless, S3, Lambda, and related technologies
Strong experience with dbt, Spark/PySpark, and Pandas
Experience designing and operating HIPAA-compliant data architectures and handling sensitive healthcare data
Demonstrated ability to optimize data pipelines for performance, scalability, and reliability in cloud environments
Experience with Infrastructure as Code tools such as Terraform
Strong problem-solving skills and attention to detail when working with large, complex, and heterogeneous datasets
Resume and a highly personalized, bold, and hilarious Keebler Health–style introduction required when applying

Benefits

Comp & perks

Competitive salary and benefits package
Professional growth and development opportunities
Collaborative and supportive team culture
Opportunity to work in a fast-paced, innovative environment
Chance to make a meaningful impact on the healthcare industry