Sr. GCP Data Engineer (Health Care Background Must)

Important IT company At the Latin American level, growth requires:

Sr. GCP Data Engineer (Health Care Background Must) 

Key Responsibilities

Strong experience architecting enterprise data platforms on Google Cloud (GCP). The architect will work as a strategic technical partner to design and build a GCP BigQuery-based Data Lake & Data Warehouse ecosystem. 

Requirements

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.

Technical Skills (Must-Have)

• 10+ years in data architecture, engineering, or data platform roles. 

• Strong expertise in GCP 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. 

• 10+ years in data architecture, engineering, or data platform roles. 

• Strong expertise in GCP 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. 

ADVANCED CONVERSATIONAL ENGLISH AND SPANISH ESSENTIAL (Will be evaluated).

If you are a foreingner residing in Mexico, you must have a valid INE, CURP, NSS and RFC.

Job type: Remote.

Location: Mexico

Salary: $120,000 gross.

Benefits: Excellent superior benefits.