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.
