---
title: 'Data Engineer, ETL at Thesis'
canonical: 'https://feeny.ai/job/data-engineer-etl-thesis-new-york-0z8h90z6cnwf'
type: 'job'
last_seen: '2026-09-16'
---

# Data Engineer, ETL at Thesis

- **Company:** Thesis
- **Location:** New York, NY
- **Posted:** 2026-01-23
- **Last confirmed live:** 2026-09-16
- **Apply:** https://job-boards.greenhouse.io/trovohealth/jobs/5082855008

## Job description

## About us

Thesis is building the AI-powered care team platform for infinitely scalable clinical capacity. We radically increase access and improve quality of care by combining AI agents with clinical experts to take on high-impact clinical operations and care management activities for healthcare organizations.

We’re based in NYC, are growing rapidly, and are backed by $60 million in funding from Oak HC/FT, CRV, Black Opal Ventures, and experienced C-level healthtech angel investors.

## About the role

We are looking for a highly driven Data Engineer to help design, build, and scale the data foundations that power Thesis’s AI agents, including owning critical client integrations. You will work closely with the product, engineering, and AI/ML teams to ensure Thesis’s data architecture is scalable, reliable, secure, and actionable. This is a broad-scope, high-impact role for a technical builder who thrives in ambiguity and wants meaningful ownership over modern data infrastructure in an early-stage healthcare startup.

## Responsibilities

- Build core data infrastructure: Design, implement, and maintain scalable, data pipelines and architectures across ingestion, transformation, and storage layers
- Own client integrations and data ingestion: Structure and maintain durable integrations and ETL workflows to reliably onboard and normalize client data.
- Design robust data models: Build and maintain clean, well-documented data models that support reporting, analytics, and downstream automation.
- Enable product and analytics outcomes: Ensure data flows accurately from source systems to products, analytics, and AI/ML use cases.
- Drive data quality and reliability: Implement monitoring, testing, and observability to ensure high data quality and system uptime.

We expect you to have:

- Strong technical foundation: 4-6+ years of experience in Data Engineering or Software Engineering with a data focus; strong proficiency in Python and SQL.
- Modern data stack experience: Hands-on experience with cloud data platforms (AWS and/or GCP), data warehouses (Snowflake, Redshift, or BigQuery), orchestration tools (Airflow or similar), and transformation tools (dbt preferred).
- Healthcare data chops: Familiarity integrating with healthcare data standards and systems (e.g., FHIR/HL7, EHR APIs), including working with messy clinical/claims data.
- Data modeling expertise: Experience designing data models for different sources, workflows, and business processes.
- Clear communication: Ability to explain complex technical concepts to both technical and non-technical stakeholders.
- NYC-based: You are based in New York and excited to be in-office 3+ days per week.

Target compensation for this role is $170-$250k, plus equity and a generous benefits package.

Thesis Care is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

## About Thesis

## Company Overview
- **One-liner**: Thesis combines AI agents with expert clinicians to automate clinical support tasks at scale, aiming to add clinical capacity for healthcare organizations.
- **Entity Type**: Private (Series A, $60M total funding)
- **Headquarters**: New York, New York, United States
- **Founded**: 2024
- **Founders**: Niren Gandra, M.D. (CEO) and Aditya Pandyaram (CPO & Co-Founder)

## Core Business
- Primary industry/industries: Healthcare AI, Clinical Operations, Care Management
- Target customers: Physician groups, health systems, health plan care teams (B2B Enterprise)
- Mission or purpose statement: “Add clinical capacity at scale” — using AI agents with expert clinicians to perform complex clinical work end-to-end.

## Products & Services
- **Care Management Agents**: Identify and engage patients to close care gaps and improve quality measures.
- **Clinical Operations Agents**: Reduce operational friction (e.g., prior authorizations) so clinical teams focus on care, not paperwork.
- **Care Delivery Agents**: Extend frontline capacity with clinical support that complements existing teams.
- **Platform**: One integration supports multiple agents; works with existing EHR and operational systems; provides full traceability and expert-in-the-loop oversight.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: $60M total funding — $15M Seed (April 2024) + $45M Series A (March 2026)
- **Notable Investors/Partners**: Oak HC/FT (lead in both rounds), CRV, Black Opal Ventures; partner includes Unio Health Partners (California multi-specialty platform).
- **Growth Signals**: 28 employees (+116.7% YoY), 5 active job postings, partnership with Unio Health Partners covering 500K+ patients across 52 locations, commercial traction noted by CEO.

## Competitive Advantages
- **Expert-in-the-loop model**: Every AI agent is paired with a human clinician (nurse or care manager) who handles edge cases, escalations, and oversight — a moat that pure automation cannot replicate.
- **Autopilot, not copilot**: Agents deliver completed outcomes end-to-end; staff don’t need to learn new tools.
- **Enterprise-grade compliance**: HIPAA SOC 2 Type II, role-based access, full audit trail and traceability by design.
- **Works with existing systems**: Integrates with current EHR and operational infrastructure without workflow disruption.

## Strategic Focus
- **Commercial expansion**: Scaling across primary and specialty care providers nationwide.
- **Technology platform enhancement**: Deepening AI capabilities and expanding the suite of care team agents.
- **Headcount growth**: Especially engineering, product, and clinical operations roles to support customer demand.

## Why Work Here
- **Culture**: Early-stage (Series A), mission-driven “clinical capacity” startup with a small, growing team (~28 people). High ownership and impact.
- **Remote/hybrid/office**: Roles listed in New York, NY; likely hybrid or in-office near Madison Ave HQ.
- **Notable perks/engineering culture**: “Level-up your career” messaging on careers page; opportunities to work on AI/ML and full-stack product engineering in a regulated healthcare environment with real clinical impact. Current open roles include Lead Security Engineer, Staff Software Engineer (AI Developer Experience), Data Engineer, Product Lead, and GM of Clinical Operations.

## Sources
1. [thesiscare.com](https://thesiscare.com/)
2. [LinkedIn – Thesis Care](https://www.linkedin.com/company/trovohealth)
3. [CBInsights – Thesis Care](https://www.cbinsights.com/company/trovo-health)
4. [MobiHealthNews – Series A announcement](https://www.mobihealthnews.com/news/trovo-health-rebrands-thesis-care-scores-45m-and-more-funding-news)
5. [Greenhouse – Jobs at Thesis](https://job-boards.greenhouse.io/trovohealth)

## Other roles at Thesis

- [Clinical Expert, Care Team Operations (NP)](https://feeny.ai/job/clinical-expert-care-team-operations-np-thesis-remote-qpn6gzprxaks)
- [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-thesis-new-york-dkwbp546vqaj) — New York, NY
- [Clinical Agent Lead (Product)](https://feeny.ai/job/clinical-agent-lead-product-thesis-new-york-aa0a9c3aaywm) — New York, NY
- [Clinical Expert, Care Team Operations (RN)](https://feeny.ai/job/clinical-expert-care-team-operations-rn-thesis-remote-zecv431bhe2j)
- [Product Engineer, Full-Stack](https://feeny.ai/job/product-engineer-full-stack-thesis-new-york-qd0afw464km4) — New York, NY