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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Kairon Health Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $170,000.0 - $190,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Access, Application Programming Interfaces (APIs), Artificial Intelligence, Application Layers, Microsoft Azure, Software as a Service, Data Infrastructure, Extract Transform Load (ETL), Identity and Access Management, Python (Programming Language), Key Management, Operational Databases, EClinicalWorks, Salesforce.Com, SQL Databases, Systems Integration, Unstructured Data, Data Logging, Data Processing, File Transfer Protocol (FTP), Fast Healthcare Interoperability Resources, Large Language Models, Snowflake, Data Analytics, Health Level Seven International, Api Design, Restful APIs - **Published:** June 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=87d878c619161844 ## About the Role Do you have experience in Systems integration?, * 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. ## Description 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., 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., * 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., * Impact. You're not maintaining someone else's machine. You're building customer operations from the ground up at a company where the work directly affects whether patients get better care. * Growth. This role has a clear trajectory. Depending on your strengths and interests, this becomes Head of Customer Success, Director of Implementations, or a Product leadership role as we scale. You'll have the context and relationships to grow into whatever the company needs most. * Stage. We're past the "will this work?" phase - customers are live and getting value. We're in the "how do we do this 10x without breaking?" phase. That's the most interesting operational puzzle in a startup. * Equity. You'll have meaningful ownership as one of our first 10 hires, with a real seat at the table. Diversity and inclusion are core to our culture. If you are a member of an underrepresented group in tech, we strongly encourage you to apply. ## Related Videos - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [REST In Peace: Why LLMs Can't CRUD](https://www.wearedevelopers.com/videos/100272-rest-in-peace-why-llms-can-t-crud) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)