10mo ago

Principal Engineer, Data & Integrations

New York City (hybrid)Hybridfull-timelead

OtherPrincipal Engineer

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Quick Summary

Key Responsibilities

design, build, and optimize ETL pipelines for ingesting, transforming, and loading data from healthcare, CRM, and other third-party systems into Snowflake and downstream applications.

Technical Tools

OtherPrincipal Engineer

Kairon Health is building the operating system for value-based care. We help physician groups, ACOs, and health systems achieve financial and clinical excellence by uniting practice data, performance insights, and workflow intelligence in one seamless environment. Our platform parses, normalizes, and connects data across fragmented systems (EHRs, payers, CRMs, and qualitative sources) so practices and their partners can make clear, confident decisions that improve outcomes and drive sustainable growth.

Join us in transforming how healthcare organizations operate, make decisions, and care for patients.

You’ll own Kairon’s data backbone and integrations layer — designing the pipelines, APIs, and frameworks that move, clean, and enrich healthcare data end-to-end, from ingestion through analytics and in-app intelligence. This is a high-autonomy role with outsized impact on architecture, tooling, and standards.

You’ll collaborate closely with our CEO, engineers, and team leadership to build secure, scalable data infrastructure that underpins every part of our product — from performance analytics to AI-driven insights.

This is a foundational role: you’ll be the technical owner of our data backbone and integrations layer, with significant autonomy and influence over design, tooling, and standards.

Responsibilities

~1 min read

→Build the pipelines: design, build, and optimize ETL pipelines for ingesting, transforming, and loading data from healthcare, CRM, and other third-party systems into Snowflake and downstream applications.
→Own integrations: Lead connections to EHRs (Athena, eClinicalWorks, etc.), Salesforce, payer feeds, and Microsoft Teams/Azure; manage auth, rate limits, retries, and schema evolution.
→Model the data: Architect and maintain data models that support both analytics and application layers, ensuring scalability, performance, and data quality.
→Raise data quality: Implement tests and observability to prevent regressions and ensure trust.
→Advance enrichment: develop next-generation ETL capabilities leveraging LLM-based data enrichment, unstructured data parsing, and automated mapping.
→Partner across teams: Collaborate with product, analytics, and AI to power real-time metrics, dashboards, and in-product intelligence.
→Build for compliance: Implement HIPAA-aligned flows (encryption, least-privilege access, auditing) and support SOC 2 controls across logging, access, and change management.
→Set standards & mentor: Establish patterns, docs, and conventions; mentor future hires and raise the engineering bar.

Requirements

~1 min read

6+ years building production data systems (pipelines, integrations, distributed services) with measurable reliability.
Strong Python and SQL; experience with Snowflake and/or dbt
Hands-on with orchestration, monitoring, and incident response.
Deep understanding of API design and systems integration; comfortable with FHIR/HL7v2, file-based feeds (SFTP), and webhook patterns.
Practical security mindset (encryption at rest/in transit, key management, IAM); experience in HIPAA or similar regulated environments.
Excellent communication with ability to translate between product needs and technical designs.

Prior experience working with EHR, claims, or healthcare data.
Experience with Salesforce APIs, HL7/FHIR, or Microsoft Teams/Azure integrations.
Experience implementing LLM-enhanced data processing (e.g., text extraction, entity linking, or summarization).
Familiarity with modern data stack tools (e.g., dbt).
Previous work in a startup or high-growth SaaS environment.