Google Cloud Platform Data Engineer

(ID: 2026-2740) Axle Informatics is a bioscience and information technology company advancing translational research through biomedical informatics, data science, artificial intelligence, and intelligent automation. We partner with research centers, healthcare organizations, and government agencies around the globe to transform complex data into actionable insights that accelerate scientific discovery and improve decision-making. Our multidisciplinary teams of experts in biomedical science, software engineering, data engineering, AI, automation, and program management develop innovative technologies, modernize data ecosystems, and create scalable solutions that enable the next generation of research and healthcare innovation.

Role Overview We are seeking an experienced GCP Data Engineer to own the technical pipeline infrastructure for a Finance Transformation program. The successful candidate will design and implement the shared pipeline architecture that underpins the program's data product delivery, building the Workday and Oracle Finance connectors and owning the unified data model, lineage graph, and real time event capture infrastructure. This is a senior, hands on engineering role requiring deep expertise in GCP pipeline services, Workday and Oracle API extraction, and data lineage architecture.

The candidate will establish the GCP native pipeline pattern used by both domain connectors, pair with each domain analyst on their source specific extraction builds, and ensure the unified data model in Cloud SQL serves all three reporting lenses -- Function, Supervisory Organization, and Job Family -- from a single join layer. The successful candidate will combine engineering rigor with practical delivery focus, able to move between architectural design and production build, and provide clear technical guidance to domain analysts who own the domain specific extraction logic.

Key Responsibilities

Design and implement the shared GCP native pipeline architecture, establishing the Cloud Dataflow and Cloud Composer pattern that both HR and Finance connectors follow, with pipeline health monitoring, alerting, and audit trail via Cloud Monitoring and Cloud Logging. Build the Workday connector using RaaS for bulk extraction and REST APIs for real time lifecycle event capture, and configure Firebase Realtime Database to reflect classification and cost changes within minutes of each lifecycle event. Build the Oracle Finance connector using REST APIs with SOAP fallback, applying basis tagging at ingestion so the same pipeline serves statutory, management, Lloyd's, and regulatory reporting without rerunning the extract.

Pair with each domain analyst on their source specific extraction builds, providing GCP architectural guidance while the analyst owns domain specific field mapping, validation, and sign off. Design and maintain the Cloud SQL unified data model, including the HR to Finance mapping table and the join layer that serves all three reporting lenses -- Function, Supervisory Organization, and Job Family -- from a single data model. Implement the lineage graph in Cloud SQL, publish definitions and lineage via REST API to downstream components, and configure Firebase to stream audit events continuously, logging every access, change, and approval.

Requirements

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Required Qualifications

5+ years of GCP engineering experience, with deep expertise in Cloud Dataflow, Cloud Composer, and Cloud SQL, including designing and operating production data pipelines in these services. Demonstrable experience extracting data from Workday using RaaS bulk export and REST APIs for real time event capture, with an understanding of Workday supervisory org and worker classification data structures.