Principal Engineer, Data & Integrations

Company Overview

Position Overview

Key Responsibilities

• 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.

Qualifications

• 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.

Preferred Qualifications

• 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.

What We Offer

• Competitive compensation ($170k–$200k) + equity and benefits.
• Opportunity to shape Kairon’s entire data architecture and own a critical technical domain.
• Collaborative, high-autonomy culture — work directly with founders and senior engineers.
• Mission-driven work: build systems that directly impact how practices care for patients and succeed in value-based care.