Jobs, fresher vacancy - Data Engineer (Health Data Metrics) • UK

Company: Keebler Health

UK

About the roleWe 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 ResponsibilitiesData Engineering and DevelopmentDesign, 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.Healthcare Data ExpertiseWork 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 InnovationIdentify 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 ImpactPartner 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 QualificationsMust 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 SkillsStrong 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.When applyingIn 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. Either apply here, or email careers@keebler.health with the role you’re applying for, your resume, Keebler Health-style introduction, and a link to your LinkedIn.What We OfferCompetitive 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.