Data Engineer (Health Data Metrics)
New
K
Keebler HealthHealthcare Technology
United StatesFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Required Skills
- AWSPythonSQLSparkdbtRedshiftHIPAAPySpark
Requirements
- Must be US based.
- 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.
- Strong understanding of healthcare data standards, including FHIR, HL7, and CQL.
- Hands-on experience with data modeling, normalization, and schema design.
- Experience with orchestration tools such as Airflow, Dagster, or Temporal.
- Experience with AWS services including Glue, EMR, Iceberg, Redshift Serverless, S3, and Lambda.
- Experience designing and operating HIPAA-compliant data architectures.
- Experience with Infrastructure as Code (IaC) tools such as Terraform.
Responsibilities
- 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 for data modeling, transformation, and documentation.
- Utilize workflow orchestration tools such as Temporal for pipeline automation.
- Work with healthcare quality metrics 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.
- Ensure compliance with HIPAA and other healthcare regulatory requirements.
View Full Description & ApplyYou'll be redirected to the employer's site
