{"id":2798864,"url":"https://alion.io/job/onos-health-lead-engineer-dataintegrations","title":"Lead Engineer (Data/Integrations)","company":{"id":679758,"name":"Onos Health","domain":"onoshealth.com","url":"https://alion.io/company/onoshealth","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"Claude Code","optional":false},{"name":"ClickHouse","optional":false},{"name":"GitHub","optional":false},{"name":"Jira","optional":false},{"name":"Amazon ECS","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Celery","optional":true},{"name":"Django","optional":true},{"name":"Docker","optional":true},{"name":"GitHub Actions","optional":true},{"name":"JavaScript","optional":true},{"name":"Next.js","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Python","optional":true},{"name":"Radix UI","optional":true},{"name":"React.js","optional":true},{"name":"shadcn/ui","optional":true},{"name":"Tailwind CSS","optional":true},{"name":"Terraform","optional":true},{"name":"TypeScript","optional":true},{"name":"Zod","optional":true}],"status":"live","first_seen_at":"2026-03-26T18:14:42Z","employer_posted_date":"2026-03-26","last_verified_at":"2026-10-21T04:09:37Z","board_verified":true,"closed_at":null,"days_open":208,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":208},"description":"About Onos Health\nOnos 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.\nOnos 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.\nOnos 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.\nWhy Onos?\nMeaningful impact: Help fix what is fundamentally broken in healthcare\n\nDirect collaboration: Work alongside experienced founders with deep healthcare and data expertise\n\nCulture: Join a high-performing, transparent, and results-oriented team\n\nOwnership: Significant responsibility and autonomy from day one\n\nOpportunity: Play a pivotal role in building a fast-growing, category-defining healthcare AI company\n\nThe Role\nWe'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.\nWhat you’ll be doing at Onos:\nLead the architecture and implementation of data integrations with major healthcare payers, including claims feeds, utilization management authorization data, eligibility files, and provider rosters\n\nBuild an integration framework that makes onboarding each new payer faster and more reliable over time\n\nWork across healthcare data formats and exchange methods\n\nBuild monitoring, reconciliation, and data quality systems, including defining requirements, test scenarios, and acceptance criteria for each integration\n\nBuild and scale data pipelines for our AI/ML systems and analytics dashboards for behavioral and mental health quality and cost\n\nEstablish engineering best practices and technical foundations for future team growth\n\nTechnical Challenges At Onos:\nBuild a payer integration framework that makes each new national and regional health plan onboarding faster and more reliable than the last\n\nDevelop fault-tolerant data pipelines that process millions of claims records while maintaining strict data quality, security, and compliance requirements\n\nDesign normalization layers that translate varied payer data formats into a unified data model for AI/ML and analytics\n\nArchitect robust monitoring and alerting systems that detect data quality issues, feed disruptions, and schema drift before they impact downstream systems\n\nEstablish best practices for using AI tooling across the engineering workflow to ship faster without sacrificing quality\n\nTech Stack:\nAt Onos, we work with a modern tech stack where we continuously evaluate and adopt cutting-edge technologies as we scale.\nInfrastructure/Systems: AWS (ECS, Bedrock, Glue, etc.), Docker, Github Actions, Terraform\n\nLanguages/Frameworks\nBackend: Python, Django, Celery / Celery Beat, django-ninja, django-tenants\n\nFrontend: NextJS, Typescript, Tanstack Query, Shadcn UI, Zod, Nuqs\n\nDatabase/Storage: PostgreSQL (AWS RDS), S3, Clickhouse\n\nDevelopment Tools: Github, Jira, Claude Code, CoderabbitAI, Tusk\n\nWhat we’re looking for:\n5+ years experience in data engineering, with significant time spent working with healthcare payer data (claims, UM, eligibility)\n\nPrior experience leading engineering teams as a tech lead or engineering manager\n\nExperience integrating (or willing to learn) health plan systems and navigating payer data formats including EDI X12, HL7, FHIR, and custom flat files\n\nStrong system design skills with a track record of defining clear requirements, test scenarios, and acceptance criteria for complex data systems\n\nCustomer obsessed and motivated to make an impact in the healthcare space\n\nA hands-on technical leader who can architect robust and extensible systems, establish best practices with AI coding tools, and ship high quality production code\n\nBonus points if you have (not required):\nDirect experience integrating with claims platforms or UM systems such as QNXT, Facets, Amisys, Jiva, CareRadius, or similar\n\nExperience with behavioral health or mental health claims data (e.g., behavioral health carve-outs, BH-specific CPT codes, quality measurement)\n\nBuilt data infrastructure that powers AI/ML systems - feature pipelines, training data preparation, model monitoring\n\nBenefits and Perks\nFlexible hybrid arrangement: 3 days/week at San Francisco office (Financial District), remote-first culture\n\nUnlimited vacation policy\n\nPaid parental leave\n\nMedical, dental, and vision insurance\n\nPre-tax commuter benefits\n\n401(k)\n\nSignificant equity as an early employee\n\nDirect mentorship from experienced founders\n\nGround-floor opportunity to help build a team and culture\n\nRegular team events and offsites\n\nCompany-provided equipment and home office setup\n\nWe 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.","description_format":"text","description_chars":5782,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Home office","Parental leave","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Agents","Health Insurance & Benefits"],"lifecycle":[{"event":"open","at":"2026-10-18T01:49:51Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"Filed H-1B visas in the last two years","filings_12m":0,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":null,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.234,"p_room":0.28,"age_days":208,"expected_fill_days":30,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-10-21T05:46:15Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/onos-health-lead-engineer-dataintegrations","json_url":"https://alion.io/job/onos-health-lead-engineer-dataintegrations.json","meta":{"generated_at":"2026-10-21T08:18:54Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":11798,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":679758},"rest":"https://alion.io/mcp/rest/get_company?id=679758"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fonos-health-lead-engineer-dataintegrations"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fonos-health-lead-engineer-dataintegrations"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fonos-health-lead-engineer-dataintegrations"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/onos-health-lead-engineer-dataintegrations\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fonos-health-lead-engineer-dataintegrations"}]}