Job description 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.
Job 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.
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