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Tech Stack
Tools & technologiesBigQueryCloudDistributed SystemsGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- Comprehensive Health Insurance
- Paid Leave (Vacation/PTO)
- Paid Holidays
- Sick Leave
- Parental Leave
- Bereavement Leave
- 401 (k) Employer Match
- Employee Referral Bonuses
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata pipelinesAPI developmentPythonSQLdistributed systemsdata modelingdata qualityperformance optimizationreliability
Soft Skills
problem-solvingcommunicationindependencecollaboration
