Healthcare Data Engineering Lead (Google Cloud Platform) || Remote || Contract
Healthcare Data Engineering Lead (Google Cloud Platform) || Remote || Contract
Summary: Strong experience architecting enterprise data platforms on Google Cloud (Google Cloud Platform). The architect will work as a strategic technical partner to design and build a Google Cloud Platform BigQuery-based Data Lake & Data Warehouse ecosystem.
The role requires deep hands-on expertise in data ingestion, transformation, modeling, enrichment, and governance, combined with a strong understanding of clinical healthcare data standards, interoperability, and cloud architecture best practices.
Required Skills & Qualifications
Technical Skills (Must-Have)
• 10+ years in data architecture, engineering, or data platform roles.
• Strong expertise in Google Cloud Platform data stack (BigQuery, Dataflow, Composer, GCS, Pub/Sub, Dataproc, Dataplex).
• Hands-on experience with data ingestion, pipeline orchestration, and transformations.
• Deep understanding of clinical data standards:
• HL7 v2.x, FHIR, CCD/C-CDA
• DICOM (for scans and imaging)
• LIS/RIS/PACS data structures
• Experience with device and IoT data ingestion (wearables, remote patient monitoring, clinical devices).
• Experience with ERP datasets (Workday, Oracle, Lawson, PeopleSoft).
• Strong SQL and data modeling skills (3NF, star/snowflake, canonical and logical models).
• Experience with metadata management, lineage, and governance frameworks.
• Solid understanding of HIPAA, PHI/PII handling, DLP, IAM, VPC security.
Cloud & Infrastructure
• Solid understanding of cloud networking, hybrid connectivity, VPC design, firewalling, DNS, service accounts, IAM, and security models.
• Cloud Native Data movement services
• Experience with on-prem to cloud migrations
Thanks,
IT First Source
Apply Now
Apply Now
Summary: Strong experience architecting enterprise data platforms on Google Cloud (Google Cloud Platform). The architect will work as a strategic technical partner to design and build a Google Cloud Platform BigQuery-based Data Lake & Data Warehouse ecosystem.
The role requires deep hands-on expertise in data ingestion, transformation, modeling, enrichment, and governance, combined with a strong understanding of clinical healthcare data standards, interoperability, and cloud architecture best practices.
Required Skills & Qualifications
Technical Skills (Must-Have)
• 10+ years in data architecture, engineering, or data platform roles.
• Strong expertise in Google Cloud Platform data stack (BigQuery, Dataflow, Composer, GCS, Pub/Sub, Dataproc, Dataplex).
• Hands-on experience with data ingestion, pipeline orchestration, and transformations.
• Deep understanding of clinical data standards:
• HL7 v2.x, FHIR, CCD/C-CDA
• DICOM (for scans and imaging)
• LIS/RIS/PACS data structures
• Experience with device and IoT data ingestion (wearables, remote patient monitoring, clinical devices).
• Experience with ERP datasets (Workday, Oracle, Lawson, PeopleSoft).
• Strong SQL and data modeling skills (3NF, star/snowflake, canonical and logical models).
• Experience with metadata management, lineage, and governance frameworks.
• Solid understanding of HIPAA, PHI/PII handling, DLP, IAM, VPC security.
Cloud & Infrastructure
• Solid understanding of cloud networking, hybrid connectivity, VPC design, firewalling, DNS, service accounts, IAM, and security models.
• Cloud Native Data movement services
• Experience with on-prem to cloud migrations
Thanks,
IT First Source
Apply Now
Apply Now