Data Engineer

Job Description Roles & Responsibilities 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 across the Saudi healthcare landscape. 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. Desired Candidate Profile Strong understanding of data engineering principles including data modelling, warehousing, and pipeline architecture. Familiarity with healthcare data standards such as HL7, FHIR, ICD-10, and SNOMED CT. Knowledge of cloud platforms (AWS, Azure, or GCP) and their managed data services. Ability to write clean, efficient, and well-documented code in Python and SQL. Ability to independently own and deliver data pipeline projects end-to-end, from requirements gathering to production deployment. Ability to troubleshoot complex data issues and communicate findings clearly to both technical and non-technical stakeholders. 3 – 6 years of hands-on experience in data engineering or a closely related role. Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field. Proven experience with distributed processing frameworks such as Apache Spark or Kafka. Experience with orchestration tools (Apache Airflow, Prefect, or similar) to manage complex workflow dependencies. Prior experience working in healthcare IT or with clinical/claims datasets is strongly preferred. Proficiency in dbt (data build tool) for analytics engineering and data transformation workflows. Experience with real-time streaming pipelines using Apache Kafka or AWS Kinesis. Familiarity with data observability and monitoring tools such as Monte Carlo, Great Expectations, or similar. Understanding of HIPAA, PDPL (Saudi Personal Data Protection Law), and data privacy best practices in a healthcare context. Experience working in an Agile/Scrum environment with cross-functional global teams. Knowledge of Arabic language is a plus for stakeholder communication within the KSA market. Company Industry IT - Software Services Department / Functional Area IT Software Keywords Data Engineer Get real-time job updates only on our App