Data Engineer with GCP Experience

Role Overview:

We are looking for a Data Engineer with strong Google Cloud Platform (GCP) experience to join our growing data practice.

This is a hands-on, high-impact role focused on building scalable data platforms and API-driven integrations, particularly within the healthcare domain. You will have the opportunity to work on modern data architectures and deliver end-to-end solutions in a fast-paced, client-facing environment.

What You'll Do:

• Design and build scalable data pipelines (batch & streaming) on GCP
• Develop and manage API-driven integrations (REST, JSON, event-based)
• Work with healthcare data standards such as FHIR, HL7, and EDI
• Build and optimize solutions using: BigQuery, Dataflow, Pub/Sub, Cloud Storage
• Design data models aligned with business and domain requirements
• Ensure data quality, performance, and reliability
• Collaborate with stakeholders and independently own deliverables from design to deployment

What We're Looking For:

• 4-6 years of experience in Data Engineering
• Strong hands-on experience with GCP (BigQuery, Dataflow, Pub/Sub)
• Proficiency in Python and SQL
• Experience building data pipelines and distributed systems
• Experience with API development or integration
• Exposure to healthcare data systems (FHIR, HL7, EDI preferred)
• Ability to work independently with minimal supervision
• Strong problem-solving and communication skills

Nice-to-Have Skills:

• Experience with Airflow / Cloud Composer / dbt
• Exposure to real-time streaming architectures
• Multi-cloud experience (AWS/GCP)
• Prior experience in consulting or client-facing roles