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Role Description

This role involves owning critical data pipelines end to end, from ingestion through transformation to production delivery, while also helping manage cloud infrastructure and DevOps operations.

• Migrate existing PySpark pipelines to Ibis / DuckLake on the Ascend Gen3 platform
• Build and maintain disease-state-specific measures pipelines
• Build and maintain the cross-tenant benchmarks pipeline
• Build and maintain an Echo NLP pipeline that extracts structured data from unstructured echocardiogram narrative text
• Work across the full pipeline lifecycle: design, implementation, testing, deployment, and monitoring
• Expand test coverage and improve testing harnesses and related infrastructure
• Fix noisy and flaky test suites that generate false positives
• Add new test types, including browser-based tests and full pipeline validation runs
• Help establish a testing culture where tests are meaningful, not ceremonial
• Manage Azure cloud infrastructure
• Interface with the MSP on business and technical issues
• Implement and maintain Infrastructure as Code using Bicep / Terraform
• Enforce RBAC and least-privilege access policies
• Monitor and optimize cloud costs
• Improve and automate data ingestion, movement, and recovery processes
• Build toward reliable, rollback-capable release cadences
• Reduce manual operational steps
• Make data operations more observable and repeatable
• Use AI coding tools such as Claude Code, Cursor, or similar in daily workflow
• Contribute to an AI-forward engineering culture focused on faster iteration, better code quality, and stronger testing

Qualifications

• 7+ years of data engineering or platform engineering experience
• Deep Python and SQL proficiency
• Experience with PySpark
• Ideally experience with Ibis or other dataframe abstraction layers
• Experience with DuckDB
• Experience working at a healthcare SaaS startup
• Azure cloud experience, or strong AWS / GCP experience with the ability to ramp quickly
• Experience with Kubernetes and Docker
• Experience with data quality frameworks such as Great Expectations, dbt tests, or similar
• Active, proficient use of AI coding tools in daily work
• Self-directed working style with the ability to identify problems and solve them without constant direction

Requirements

• Healthcare data experience, including clinical registries, HIPAA, or Safe Harbor de-identification
• Experience with DuckLake
• Experience with Ascend.io or similar pipeline orchestration platforms
• Experience collaborating with offshore engineering teams across time zones
• Experience with Infrastructure as Code tools such as Terraform, Bicep, or CloudFormation

Benefits

• Fully remote, US-based role
• Small team, high impact
• Work that directly affects how hospitals improve patient care
• Direct access to the CTO
• Influence over architectural decisions