Data Engineer (Health Data Metrics)

Keebler Health

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profile Job Location:

Durham - UK

profile Monthly Salary: Not Disclosed
Posted on: 13 hours ago
Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

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/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 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 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 Skills

  • 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.

When applying

In addition to your resume also include:

  • A highly personalized bold and hilarious Keebler Healthstyle 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 were building something real.

Either apply here or email with the role youre applying for your resume Keebler Health-style introduction and a link to your LinkedIn.

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.

Required Experience:

IC

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...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

About Keebler Health: Keebler Health is a venture-backed healthcare technology startup committed to advancing Value-Based Care (VBC). We empower healthcare providers with AI-native solutions that streamline VBC workflows, drive clinical efficiency, and improve outcomes for patients. O ... View more

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