Senior Data Engineer
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About the role
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
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