Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and construct scalable data pipelines (both batch and streaming) on GCP.

• Develop and oversee API-driven integrations (REST, JSON, event-based).

• Collaborate with healthcare data standards including FHIR, HL7, and EDI.

• Build and enhance solutions utilizing BigQuery, Dataflow, Pub/Sub, and Cloud Storage.

• Create data models that align with business and domain requirements.

• Ensure the quality, performance, and reliability of data.

• Work together with stakeholders and take ownership of deliverables from design through to deployment.

⛳️ Requirements

• 4-6 years of experience in Data Engineering.

• Strong practical experience with GCP (BigQuery, Dataflow, Pub/Sub).

• Proficiency in Python and SQL.

• Experience in constructing data pipelines and distributed systems.

• Familiarity with API development or integration.

• Knowledge of healthcare data systems (experience with FHIR, HL7, EDI is preferred).

• Ability to work autonomously with minimal supervision.

• Excellent problem-solving and communication skills.

🏝️ Benefits

• Comprehensive Health Insurance.

• Paid Leave (Vacation/PTO).

• Paid Holidays.

• Sick Leave.

• Parental Leave.

• Bereavement Leave.

• 401 (k) Employer Match.

• Employee Referral Bonuses.