Staff Data Engineer
Core
Design and build scalable AWS-native data services to ingest, transform, and deliver analytics-ready datasets from 12+ vendor sources to data scientists, analysts, and field representatives.
Role type
Staff Data Engineer (Cloud Infrastructure & Data Platform)
Builds
AWS-native data pipelines, data quality frameworks, alerting systems, and dimensional data warehouse models
Domain
Healthcare technology / Consumer health / Cloud Data Engineering
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
AWS-native development (Lambda, Glue, CDK, Step Functions, Redshift), Python, SQL (complex query optimization), CI/CD pipeline construction, observability infrastructure, data governance implementation, technical mentorship
Preferred skills
AWS certification (Solutions Architect or Data Engineer), healthcare data compliance knowledge (HIPAA), executive-level communication
Technologies
AWS Lambda, AWS Glue, AWS CDK, AWS Step Functions, Amazon Redshift, Amazon S3, GitHub Actions
Responsibilities
Design and build data pipelines ingesting vendor data (SFTP, API, file-based) into S3 and Redshift with validation and error handling; Own AWS-native development workflows to create scalable, cost-aware data services; Implement data quality assertion frameworks to validate completeness, freshness, and accuracy; Build alerting systems and reliability playbooks for rapid issue detection and resolution; Model and evolve the data warehouse schema with documented lineage; Partner with Privacy, Security, and IT on data governance requirements; Set technical direction and mentor team members through code reviews and knowledge sharing
Seniority
Staff, hands-on IC with strategic direction and mentorship