--- title: 'Lead Engineer (Data/Integrations) at Onos Health' canonical: 'https://feeny.ai/job/lead-engineer-data-integrations-onos-health-san-francisco-rs347xgb61ys' type: 'job' last_seen: '2026-09-14' --- # Lead Engineer (Data/Integrations) at Onos Health - **Company:** Onos Health - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-03-26 - **Last confirmed live:** 2026-09-14 - **Apply:** https://jobs.ashbyhq.com/onoshealth/05fe0f8e-90a4-4d9e-a4d3-90b9cc755352 ## Job description ## About Onos Health Onos Health’s mission is simple but ambitious: ensure every healthcare dollar goes toward delivering the highest quality care. Today, 30% of total U.S. healthcare spending is wasted due to ineffective care and administrative burden caused by misalignment between providers and payers. Onos is addressing this by building the largest AI-driven healthcare data platform. Our models enables payers to make faster, more accurate decisions across their populations. By guiding members to the right care, Onos is channeling more dollars to high-quality care that drives better outcomes while making healthcare more affordable. Onos is well-funded by some of the best healthcare investors and is working with the nation’s largest health plans. Come join a category-defining company and help reimagine healthcare for the better. Why Onos? - Meaningful impact: Help fix what is fundamentally broken in healthcare - Direct collaboration: Work alongside experienced founders with deep healthcare and data expertise - Culture: Join a high-performing, transparent, and results-oriented team - Ownership: Significant responsibility and autonomy from day one - Opportunity: Play a pivotal role in building a fast-growing, category-defining healthcare AI company ## The Role We're seeking an experienced data engineering leader who is motivated to meaningfully improve the way healthcare is administered in the country. You'll own the architecture and implementation of our integrations with claims and utilization management systems at the nation's largest health plans. As an early team member, you'll build the data infrastructure that powers the entire Onos platform and establish the best practices for a growing data engineering team. This role is a hybrid role based in San Francisco, where you'll be expected to work at our office in person 3 times per week. What you’ll be doing at Onos: - Lead the architecture and implementation of data integrations with major healthcare payers, including claims feeds, utilization management authorization data, eligibility files, and provider rosters - Build an integration framework that makes onboarding each new payer faster and more reliable over time - Work across healthcare data formats and exchange methods - Build monitoring, reconciliation, and data quality systems, including defining requirements, test scenarios, and acceptance criteria for each integration - Build and scale data pipelines for our AI/ML systems and analytics dashboards for behavioral and mental health quality and cost - Establish engineering best practices and technical foundations for future team growth Technical Challenges At Onos: - Build a payer integration framework that makes each new national and regional health plan onboarding faster and more reliable than the last - Develop fault-tolerant data pipelines that process millions of claims records while maintaining strict data quality, security, and compliance requirements - Design normalization layers that translate varied payer data formats into a unified data model for AI/ML and analytics - Architect robust monitoring and alerting systems that detect data quality issues, feed disruptions, and schema drift before they impact downstream systems - Establish best practices for using AI tooling across the engineering workflow to ship faster without sacrificing quality Tech Stack: At Onos, we work with a modern tech stack where we continuously evaluate and adopt cutting-edge technologies as we scale. - Infrastructure/Systems: AWS (ECS, Bedrock, Glue, etc.), Docker, Github Actions, Terraform - Languages/Frameworks - Backend: Python, Django, Celery / Celery Beat, django-ninja, django-tenants - Frontend: NextJS, Typescript, Tanstack Query, Shadcn UI, Zod, Nuqs - Database/Storage: PostgreSQL (AWS RDS), S3, Clickhouse - Development Tools: Github, Jira, Claude Code, CoderabbitAI, Tusk What we’re looking for: - 5+ years experience in data engineering, with significant time spent working with healthcare payer data (claims, UM, eligibility) - Prior experience leading engineering teams as a tech lead or engineering manager - Experience integrating (or willing to learn) health plan systems and navigating payer data formats including EDI X12, HL7, FHIR, and custom flat files - Strong system design skills with a track record of defining clear requirements, test scenarios, and acceptance criteria for complex data systems - Customer obsessed and motivated to make an impact in the healthcare space - A hands-on technical leader who can architect robust and extensible systems, establish best practices with AI coding tools, and ship high quality production code Bonus points if you have (not required): - Direct experience integrating with claims platforms or UM systems such as QNXT, Facets, Amisys, Jiva, CareRadius, or similar - Experience with behavioral health or mental health claims data (e.g., behavioral health carve-outs, BH-specific CPT codes, quality measurement) - Built data infrastructure that powers AI/ML systems — feature pipelines, training data preparation, model monitoring ## Benefits and Perks - Flexible hybrid arrangement: 3 days/week at San Francisco office (Financial District), remote-first culture - Unlimited vacation policy - Paid parental leave - Medical, dental, and vision insurance - Pre-tax commuter benefits - 401(k) - Significant equity as an early employee - Direct mentorship from experienced founders - Ground-floor opportunity to help build a team and culture - Regular team events and offsites - Company-provided equipment and home office setup We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. ## About Onos Health ## Company Overview - **One-liner**: Onos Health provides an AI-powered platform that helps health plans reduce waste and improve quality in behavioral health programs. - **Entity Type**: Private (Seed stage; raised $6.3M in June 2025) - **Headquarters**: San Francisco, California, United States - **Founded**: Not publicly available - **Founders**: Akshay Agrawal (CEO) and Suhaas Prasad (CTO) ## Core Business - **Primary industry**: Healthcare IT – specifically behavioral health technology for payers - **Target customers**: Health plans (payers) that manage behavioral health benefits, including government-sponsored programs - **Mission statement**: “Fix what’s broken in behavioral health” – the company aims to streamline operations, reduce loss, and ensure higher-quality care. ## Products & Services - **Onos Platform (AI-Powered Behavioral Health Management)**: A SaaS platform that combines machine learning, large language models, and generative AI to: - Alert health plans when members deviate from appropriate care paths and recommend corrective actions. - Detect fraud, waste, and abuse early. - Provide a 360-degree view of each member’s condition and care. - Unify clinical review, utilization management, and provider quality assessment in a single, collaborative web application. - Support full spectrum of behavioral health diagnoses and all care settings (outpatient, intensive outpatient, inpatient, crisis stabilization, school-based, etc.). - **Integration Options**: Supports flatfile/CSV, API connections to claims/RCM/EMR systems, or direct data warehouse/lake integration. - **Configuration**: Can be tailored to a health plan’s data, service lines, and clinical guidelines. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total funding raised – $6.3M (Seed round, June 2025) - **Notable Investors/Partners**: Seed round led by **Haystack** and **Pathlight Ventures**; 4 investors total. - **Growth Signals**: - 17 employees as of mid-2025, with active hiring for 6+ open roles (Staff Engineers, AI/ML, Product, Marketing). - Job postings increased 50% month-over-month. - LinkedIn follower count: 885. - Company featured in Axios coverage of the fundraise (October 2025). ## Competitive Advantages - **Behavioral-health-specific AI models**: Proprietary models trained exclusively on millions of claims, clinical notes, plan policies, and member data points – not general-purpose AI. - **HIPAA compliance**: Built by security professionals with payer experience; uses locally hosted AI/ML models to protect PHI. - **Reinforcement Learning with Human Feedback (RLHF)**: The platform continuously improves by incorporating team decisions back into the model. - **End-to-end unification**: Brings together scattered clinical data and cross-functional teams (clinical review, utilization management, provider collaboration) in one platform. ## Strategic Focus - **Reduce waste in behavioral health**: Onos targets the estimated 30% of every behavioral health dollar that goes to waste, aiming to cut that significantly. - **Improve clinical oversight and provider quality**: Real-time alerts and recommendations keep members on effective care paths. - **Expand data integration and configurability**: The platform works with existing payer systems and can be customized for each client’s policies and preferences. ## Why Work Here - **Mission-driven**: Employees focus on transforming a broken part of healthcare with measurable impact. - **Small, collaborative team**: Currently 17 people, offering high ownership and direct influence. - **Hybrid work policy**: Open positions list San Francisco as location, with hybrid expectation. - **Engineering culture**: Teams use modern tech stack (Python, Django, React, TypeScript, PostgreSQL, ClickHouse, PyTorch, Docker, Terraform, GitHub Actions, MLOps) and are building cutting-edge AI for healthcare. - **Open roles**: Staff Software Engineer (Full Stack & AI/ML), Lead Engineer (Backend & Data/Integrations), Forward-Deployed Product Manager, Senior Software Engineer, Head of Marketing. ## Sources 1. [onoshealth.com](https://onoshealth.com/) 2. [onoshealth.com/about-us](https://onoshealth.com/about-us/) 3. [onoshealth.com/career](https://onoshealth.com/career/) 4. [linkedin.com/company/onos-health](https://www.linkedin.com/company/onos-health) 5. [builtin.com/company/onos-health](https://builtin.com/company/onos-health) ## Other roles at Onos Health - [Lead Infrastructure Engineer](https://feeny.ai/job/lead-infrastructure-engineer-onos-health-san-francisco-jxg5ygp4htr6) — San Francisco, CA - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-onos-health-san-francisco-v15rnqx6yc6n) — San Francisco, CA - [Lead Data Scientist](https://feeny.ai/job/lead-data-scientist-onos-health-san-francisco-yyt0hr2bx33g) — San Francisco, CA - [Clinical Quality Reviewer - BCBA](https://feeny.ai/job/clinical-quality-reviewer-bcba-onos-health-san-francisco-8g7ae96f4cb1) — San Francisco, CA - [Lead Software Engineer](https://feeny.ai/job/lead-software-engineer-onos-health-san-francisco-bwzgf99q6xqf) — San Francisco, CA