
Job Description
Ovii's Interpretation of the Role
The Data Engineer will design, build, and maintain scalable ETL/ELT pipelines and cloud data warehouse models that power Innovaccer’s AI‑driven healthcare solutions for Saudi Arabia. The role collaborates with data scientists, product managers, and clinical teams to ensure high‑quality, governed data across the healthcare ecosystem.
Role Snapshot
- Design & maintain scalable ETL/ELT pipelines
- Build cloud data warehouse models (Snowflake, Redshift, Synapse)
- Ensure data quality, integrity, and governance
- Collaborate with data scientists and product teams
- Implement CI/CD for data workflows
- Work with HL7/FHIR healthcare standards
Must-Have Requirements
- Python
- SQL
- Data modeling & warehousing
- ETL/ELT pipeline development
- Cloud data warehouse platforms (Snowflake, Redshift, Synapse)
- Distributed processing frameworks (Apache Spark, Kafka)
- Orchestration tools (Apache Airflow, Prefect)
- data engineering
- distributed processing frameworks
- orchestration tools
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field
Nice-to-Have Signals
- dbt
- Real‑time streaming pipelines (Kafka, AWS Kinesis)
- Data observability tools (Monte Carlo, Great Expectations)
- HIPAA / PDPL knowledge
- Arabic language
- Healthcare data standards (HL7, FHIR, ICD‑10, SNOMED CT)
- healthcare IT
- real‑time streaming pipelines
- data observability
Work Setup
- Location: Riyadh, Saudi Arabia
- Work mode: ONSITE
- Employment type: Full-Time
Eligibility Gates
- Visa sponsorship: unknown
Not Specified in JD
- Salary range
- Visa sponsorship
- Remote eligibility
- Travel requirements
- Security clearance
What You'll Likely Work On
- Develop and operate robust ETL/ELT pipelines that ingest and transform healthcare data
- Create and optimize scalable data models in Snowflake, AWS Redshift, or Azure Synapse
- Implement testing, validation, and monitoring to guarantee data quality and governance
- Integrate clinical and claims data using HL7, FHIR, and related standards
- Automate deployment of data workflows via infrastructure‑as‑code and CI/CD pipelines
- Partner with data scientists, product managers, and clinical informatics to meet data needs
Good Fit If You Have
- Prior experience with healthcare or clinical/claims datasets
- Familiarity with Arabic to communicate with KSA stakeholders
- Comfort working in Agile/Scrum, cross‑functional teams
- Experience with data observability and monitoring tools
Skills
- Python
- SQL
- Data modeling & warehousing
- Apache Spark / Kafka
- Apache Airflow / Prefect
- Cloud platforms (AWS, Azure, GCP)
- dbt
- Data observability tools (Monte Carlo, Great Expectations)
- Healthcare data standards (HL7, FHIR, ICD‑10, SNOMED CT)
- Arabic language (plus)