4261- Data Engineer
Core
Designing, building, and maintaining scalable data pipelines and platforms to power AI-driven healthcare solutions for health systems, payers, and providers in Saudi Arabia.
Role type
Data Engineer
Builds
Scalable ETL/ELT pipelines, cloud data warehouse models, and data workflows for healthcare analytics.
Domain
Healthcare IT / Data Engineering
Deliverable
production ML models
Required skills
Python, SQL, data modeling, warehousing, pipeline architecture, distributed processing (Apache Spark, Kafka), workflow orchestration (Apache Airflow, Prefect), healthcare data standards (HL7, FHIR, ICD-10, SNOMED CT), cloud platforms (AWS, Azure, GCP), infrastructure-as-code, CI/CD
Preferred skills
dbt, real-time streaming pipelines, data observability tools (Monte Carlo, Great Expectations), HIPAA/PDPL compliance, Agile/Scrum, Arabic language
Technologies
Snowflake, AWS Redshift, Azure Synapse, Apache Spark, Apache Kafka, AWS Kinesis, dbt, Apache Airflow, Prefect, Monte Carlo, Great Expectations
Responsibilities
Design and maintain robust ETL/ELT data pipelines; build and optimize scalable data models in cloud warehouses; collaborate with data scientists and clinical teams to translate needs into solutions; ensure data quality and governance via testing and monitoring; integrate clinical and claims data using healthcare interoperability standards; contribute to infrastructure-as-code and CI/CD automation; participate in code reviews and architectural discussions.
Seniority
Mid-level (3–6 years experience)