Innovaccer

1 month ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Join Innovaccer’s engineering team to design, build, and maintain scalable ETL/ELT pipelines and data models for healthcare data across Saudi Arabia. Collaborate with data scientists, product managers, and clinical informatics to deliver reliable data solutions, ensure data quality and governance, and support AI-driven healthcare analytics while integrating HL7/FHIR data from diverse health systems.

Location: Riyadh

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key 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 (Snowflake, AWS Redshift, or Azure Synapse) to support analytics and reporting.
•Collaborate with data scientists, product managers, and clinical informatics teams to translate data needs into reliable data solutions.
•Ensure data quality, integrity, and governance by implementing testing frameworks, validation checks, and monitoring alerts across all pipelines.
•Work with HL7, FHIR to integrate clinical and claims data from diverse health systems in the KSA market.

Pay and Benefits

Perks:Health InsuranceParental LeaveCare VouchersFinancial Assistance

Key Requirements

•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.

Experience:3-6 yearsHealthcare

Education:Bachelor's

Skills:PythonSQLAirflowSparkKafkaDbtKinesisSnowflakeRedshiftAzure SynapseAWSGCPHIPAAFHIR

Languages:English

Tech Stack:PythonSQLAirflowApache SparkKafkaDbtSnowflakeAWSAzureGCPKinesisRedshiftAzure Synapse

Company Brief

Innovaccer

Provides a healthcare data activation platform that unifies clinical, claims, and operational data to enable analytics, care management, population health, and value-based care initiatives for providers, payers, and life sciences organizations.

Industry: HealthTech

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2014

Website LinkedIn

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Innovaccer

1 month ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Riyadh

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key 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 (Snowflake, AWS Redshift, or Azure Synapse) to support analytics and reporting.
•Collaborate with data scientists, product managers, and clinical informatics teams to translate data needs into reliable data solutions.
•Ensure data quality, integrity, and governance by implementing testing frameworks, validation checks, and monitoring alerts across all pipelines.
•Work with HL7, FHIR to integrate clinical and claims data from diverse health systems in the KSA market.

Pay and Benefits

Perks:Health InsuranceParental LeaveCare VouchersFinancial Assistance

Key Requirements

•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.

Experience:3-6 yearsHealthcare

Education:Bachelor's

Skills:PythonSQLAirflowSparkKafkaDbtKinesisSnowflakeRedshiftAzure SynapseAWSGCPHIPAAFHIR

Languages:English

Tech Stack:PythonSQLAirflowApache SparkKafkaDbtSnowflakeAWSAzureGCPKinesisRedshiftAzure Synapse

Company Brief

Innovaccer

Industry: HealthTech

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2014

Website LinkedIn