Data Engineer
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Key skills for this role
About the Role
As a Data Engineer at Innovaccer, you will be at the heart of our data infrastructure designing, building, and maintaining the scalable pipelines and platforms that power our AI.
Key Skills for This Role
Responsibilities
- Design, develop, and maintain robust ETL/ELT data pipelines to ingest, transform, and deliver healthcare data from multiple source systems
- Build and optimize scalable data models within cloud data warehouses to support analytics and reporting
- Collaborate with data scientists, product managers, and clinical informatics teams to understand data needs and translate them into reliable data solutions
- Ensure data quality, integrity, and governance by implementing testing frameworks, validation checks, and monitoring alerts across all pipelines
- Work with healthcare interoperability standards (HL7, FHIR) to integrate clinical and claims data from diverse health systems
- Contribute to infrastructure as code practices, supporting CI/CD pipelines and automating deployment of data workflows
- Participate in code reviews, architectural discussions, and cross functional sprint planning
Requirements
- Experience designing, developing, and maintaining ETL/ELT data pipelines
- Experience building and optimizing scalable data models in cloud data warehouses (Snowflake, AWS Redshift, or Azure Synapse)
- Knowledge of healthcare interoperability standards (HL7, FHIR)
- Experience with CI/CD pipelines and infrastructure as code practices
- Ability to collaborate with cross functional teams including data scientists and product managers
Full Job Posting
Role Overview
- As a Data Engineer at Innovaccer, you will be at the heart of our data infrastructure designing, building, and maintaining the scalable pipelines and platforms that power our AI driven healthcare solutions across the Kingdom of Saudi Arabia.
- You will play a key role in enabling data driven decision making for health systems, payers, and providers, directly contributing to better patient outcomes and operational excellence.
A Day in the Life
- Design, develop, and maintain robust ETL/ELT data pipelines to ingest, transform, and deliver healthcare data from multiple source systems.
- Build and optimize scalable data models within cloud data warehouses (Snowflake, AWS Redshift, or Azure Synapse) to support analytics and reporting.
- Collaborate with data scientists, product managers, and clinical informatics teams to understand data needs and translate them into reliable data solutions.
- Ensure data quality, integrity, and governance by implementing testing frameworks, validation checks, and monitoring alerts across all pipelines.
- Work with healthcare interoperability standards (HL7, FHIR) to integrate clinical and claims data from diverse health systems in the KSA market.
- Contribute to infrastructure as code practices, supporting CI/CD pipelines and automating deployment of data workflows.
- Participate in code reviews, architectural discussions, and cross functional sprint planning to ensure delivery of high quality, production grade data products.
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