Healthcare Data Engineer - ETL & Cloud

Innovaccer Analytics; Riyadh; On-site; SAR 180,000 - 300,000; Full time

Benefits offered by this job

Generous Leaves (up to 40 days)

Parental Leave

Health Insurance

Care Program

Financial Assistance

Job summary

Innovaccer, a leader in healthcare data, seeks a Data Engineer in Saudi Arabia to design, build, and maintain scalable data pipelines powering AI-driven healthcare solutions for the region.

You will work with HL7/FHIR, cloud platforms, and Airflow, delivering production-grade data products while collaborating with data scientists and clinicians. 3–6 years of hands-on data engineering and a degree are required.

Qualifications

• 3–6 years hands-on data engineering experience.
• Bachelor's or Master's in CS/IS/Engineering or related field.
• Experience with distributed processing frameworks such as Spark or Kafka.
• Experience with orchestration tools like Airflow or Prefect.
• Healthcare IT exposure or familiarity with clinical/claims data preferred.

Responsibilities

• Design, build, and maintain robust ETL/ELT data pipelines.
• Develop scalable data models in cloud data warehouses to support analytics.
• Collaborate with data scientists, PMs, and clinical informatics teams.
• Ensure data quality, governance, and monitoring across pipelines.
• Integrate HL7 and FHIR data from diverse health systems.
• Contribute to IaC, CI/CD, and deployment automation for data workflows.
• Participate in code reviews and cross-functional sprint planning.

Skills

Data modeling

ETL/ELT pipelines

Python

SQL

Cloud platforms

Education

Bachelor's or Master's in CS/IS/Engineering

Tools

Apache Spark

Kafka

Airflow

dbt

Snowflake

Redshift

Azure Synapse

Job description

Innovaccer, a leader in healthcare data, seeks a Data Engineer in Saudi Arabia to design, build, and maintain scalable data pipelines powering AI-driven healthcare solutions for the region.

You will work with HL7/FHIR, cloud platforms, and Airflow, delivering production-grade data products while collaborating with data scientists and clinicians. 3–6 years of hands-on data engineering and a degree are required.