Data Engineer (Health Data Metrics)

About Keebler Health Keebler Health is building the operating system for value-based care. Our mission is to help risk-bearing healthcare organizations thrive in value-based arrangements by unlocking the full power of their data. We empower leading primary care groups, ACOs, and health plans to act on real-time insights that improve outcomes, reduce costs, and fuel sustainable growth.

We're a fast-moving, high-performing team, and we’re looking for people who share our bias toward speed, urgency, and excellence. We are seeking a Data Engineer to lead our efforts around reporting scalable metrics for healthcare data and AI driven suggestions.

About the Role

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.

Key Responsibilities

Data Engineering and Development - Design, build, and maintain scalable, efficient data pipelines for ETL/EL T 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. 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

• 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 tools like 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. Preferred Skills - 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 orchestration tools such as Airflow, Dagster, or Temporal. - Hands-on experience with AWS data and compute services, including Glue, EMR, Iceberg, Redshift Serverless, S3, Lambda, and related technologies. - Strong experience with data transformation and distributed processing, using tools such as 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. - Strong problem-solving skills and attention to detail when working with large, complex, and heterogeneous datasets. - Experience with Infrastructure as Code (IaC) tools such as Terraform. 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. When applying In addition to your resume, also include: - A highly personalized, bold, and hilarious “Keebler Health - style” introduction that grabs attention - outgoing, fun, and uniquely you (not uniquely ChatGPT). Think: confident, high-energy, slightly irreverent (but still professional), with a smart nod to healthcare, value-based care, and the fact that we’re building something real.

Apply directly on RemoteJobs.org: https://remotejobs.org/remote-jobs/data-engineer-health-data-metrics-keebler-health