Healthcare Data Engineer (AA - 11112025 - PTHDE)

Position : Healthcare Data Engineer

Number of hours : 20 hours / week

Schedule : UK Time Zone - 9AM - 5PM

Key Responsibilities :

ETL Pipeline Development : Design, implement, and manage scalable and reliable ETL / ELT data pipelines to process diverse healthcare data from various sources.

Data Integration : Extract and consolidate data from disparate sources, including electronic health records (EHRs), real-world datasets, pharmacy sell-out data, and disease-specific surveys.

Data Transformation & Cleansing : Cleanse, validate, and standardize raw healthcare data. Map data to standard medical terminologies (e.g., ICD-10, SNOMED CT, LOINC ), remove duplicates, and resolve inconsistencies to ensure high data quality.

Cloud Management : Utilize AWS or Google Cloud services to build, deploy, and monitor data processing solutions and storage infrastructure.

Compliance and Security : Implement and maintain strict data security, privacy, and governance protocols to ensure compliance with regulations such as HIPAA and GDPR , including encryption, access control, and audit trails.

Collaboration : Work closely with data scientists, analysts, and business stakeholders to understand data requirements and ensure the data architecture supports advanced analytics and business intelligence needs.

Qualifications :

Proven experience as a Data Engineer , preferably within healthcare or life sciences .

Strong expertise in designing and managing ETL / ELT processes and data pipelines .

• Hands-on experience with at least one major cloud platform :

AWS : Proficiency with services such as AWS Glue, Amazon S3, AWS Lambda, Amazon Redshift, and AWS HealthLake.

Google Cloud : Proficiency with services like Cloud Healthcare API, BigQuery, Dataflow, and Dataproc.

Solid understanding of healthcare data standards (e.g. HL7, FHIR, DICOM ) and data interoperability challenges.

Proficiency in programming languages such as Python and PySpark , and experience with SQL.

Knowledge of data security best practices and experience implementing measures to protect sensitive health information.