Senior Data Engineer

• 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

• 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, * 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

4.24.2 out of 5 stars Remote $120,000 - $160,000 a year - Full-time, Pulled from the full job description

• Referral program
• Parental leave
• Health insurance
• 401(k) matching
• Paid time off
• Bereavement leave

• Paid holidays, $120,000 - $160,000 a year Compensation & Benefits: This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:

• Comprehensive Health Insurance

• Paid Leave (Vacation/PTO)

• Paid Holidays

• Sick Leave

• Parental Leave

• Bereavement Leave

• 401 (k) Employer Match

• Employee Referral Bonuses