New York, New York, United States · On-site
About Us We are fixing US healthcare by building an AI-native physical care platform, starting with home health. Home health is a $140B industry with less than $10B in EBITDA — 40% of revenue is spent on pure administrat…
Skills: Python, SQL, Data engineering, Data pipelines, ETL/ELT
New York, New York, United States · Hybrid
About Us We are fixing US healthcare by building an AI-native physical care platform, starting with home health. Home health is a $140B industry with less than $10B in EBITDA, and 40% of revenue is spent on pure administ…
Skills: Clinical Program Design, Project Management, Data Analysis, SQL, Excel Modeling
New York, New York, United States · Hybrid
About Us We are fixing US healthcare by building an AI-native physical care platform, starting with home health. We have a genuinely differentiated story and no one who owns the strategy behind how it reaches the market.…
Skills: Go-to-market Strategy, Digital Strategy, Content Strategy, Project Management, Analytical Rigor
New York, New York, United States · Hybrid
About Us We are fixing US healthcare by building an AI-native physical care platform, starting with home health. Home health is a $140B industry with less than $10B in EBITDA — 40% of revenue is spent on pure administrat…
Skills: AWS, Terraform, ECS, Postgres, Redshift
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Design, build, and maintain robust data pipelines that integrate data from various healthcare sources including EMRs and EDI feeds. Develop and manage data infrastructure while modeling complex healthcare domains into clean, queryable schemas for analytics and AI-driven decision-making.
Requires 3+ years of experience in data engineering, building pipelines, and managing data warehouses in a production environment. Proficiency in SQL, Python, and modern orchestration tools is essential, along with strong communication skills for cross-functional collaboration.
Home health is a $140B industry with less than $10B in EBITDA — 40% of revenue is spent on pure administrative waste. We automate this work with AI, creating a fundamentally different cost structure compared to incumbents. This lets us rapidly take market share by serving the 30% of patients who go untreated today.
We’ve built one of the best AI teams in the world (from Character AI, Scale, Palantir, Citadel, Jane Street) and paired them with a team of healthcare veterans and ex-MBB strategists to build a new type of healthcare company: one that delivers care at the speed of an AI company.
Our physical care platform already operates with 30pp higher gross margins than traditional home health providers. With our AI advantage, we pay nurses more, remove their admin burden, and unlock the scale economics that have been missing from this fragmented industry. If we served this entire $140B market, instead of $10B in EBITDA, we’d drive $60B.
We're starting with home health, then expanding to all delivered care. Our mission is “any care, any where”.
We build on a modern, production-grade foundation: Python, Django, PostgreSQL, and Redis on the backend, React and TypeScript on the frontend, and AWS, GCP, Docker, Kubernetes, and Temporal for infrastructure. Our AI/ML layer includes Claude and custom LLM integrations, agentic tooling, ambient scribing, and AI form-filling engines. We use Sentry for observability and GitHub with CI/CD pipelines and comprehensive testing frameworks for development.
The Opportunity
We're building the analytics platform that powers every operational workflow, customer-facing application, and AI product at Adaptive. Rather than treating analytics as a separate function, we embed governed business knowledge directly into software through semantic models, operational metrics, and agentic workflows. You'll help design the systems that define how humans and AI understand the business.
A successful Data Engineer at Adaptive is analytical, detail-oriented, and comfortable working across the full stack, from raw ingestion to the semantic layers that power our applications and agents. You'll have significant ownership over our data architecture and the opportunity to define how we measure, monitor, and optimize every aspect of our operations.
Over time, you'll own the evolution of our analytics platform end to end, setting the technical vision for how business knowledge gets modeled, governed, and made reusable across engineering, operations, and product. This role is designed for you if you have a low ego, love solving problems that matter, and are ready to build an industry-changing company.
What You'll Do
1. Own the analytics platform
Design and build the semantic models, metrics, and governance that power every operational workflow, internal application, and AI agent
Build domain abstractions that let engineers, operators, and AI reason about the business from a shared source of truth
Model RCM workflows, clinical operations, and intake processes into scalable, well-governed systems that become a shared source of truth across the company
Design observability, feedback loops, and governance that keep the analytics platform trustworthy as we scale, from metric definitions to AI-generated decisions
Partner closely with product engineering to embed analytics directly into applications and agentic workflows
Contribute to the technical direction of the platform, scaling infrastructure to support growing operational needs and making it the foundation for AI-driven decision-making
3+ years building and operating modern analytics platforms in a production environment
Strong SQL skills and experience designing data models, semantic layers, and metrics that enable reliable self-service analytics and AI applications
Experience with cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift, or similar) and orchestration frameworks (dbt, Dagster, Airflow, or similar)
Proven ability to model complex business domains into scalable, well-governed systems that become a shared source of truth across engineering, operations, and product
Experience partnering closely with product and engineering teams to embed analytics into operational workflows, internal applications, or AI-powered systems
Strong systems design skills, with experience making architectural tradeoffs around data quality, governance, performance, and maintainability
Comfortable using Python (or similar) to automate workflows, build data tooling, or enable agentic processes
Competitive salary and equity compensation
Comprehensive health insurance, dental, and commuter benefits
401(k) retirement plan with employer contribution
Flexible time off policy — we expect most employees to take at least 3 weeks of vacation per year
In-office lunches, dinners, and snacks to fuel your focus and well-being
Opportunity for growth in a fast-growing company
Collaborative team valuing innovation and problem-solving
This role is in-person 3-5 days a week in our New York City office
Technology as a tool, not a barrier.
Spend more time focusing on your business, and less time monitoring computer screens. Our team has decades of experience working in multi-billion dollar industries. You can leverage our proven technology infrastructure and world-class system reliability at a fraction of the cost.
Offices: Atascadero, CA 93422, US
Technology as a tool, not a barrier.
Spend more time focusing on your business, and less time monitoring computer screens. Our team has decades of experience working in multi-billion dollar industries. You can leverage our proven technology infrastructure and world-class system reliability at a fraction of the cost.
Offices: Atascadero, CA 93422, US
