---
title: 'Senior Data Platform Engineer at Ellipsis Health'
canonical: 'https://feeny.ai/job/senior-data-platform-engineer-ellipsis-health-san-francisco-40ktf7p6qs16'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Data Platform Engineer at Ellipsis Health

- **Company:** Ellipsis Health
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-05
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/ellipsis-health/8c44835f-2bf7-4976-9004-f3707781cd65

## Job description

Ellipsis Health is creating cutting-edge AI/ML products that solve healthcare staffing challenges and administrative burdens using conversational AI and our patented voice biomarker technology - helping deliver better healthcare for everyone.

We are currently looking for an experienced Senior Data Platform Engineer, with significant experience in building, scaling, and optimizing modern data platforms across public cloud environments.

We are located in the San Francisco Bay Area, but we are open to remote candidates for this role anywhere in the US.

## RESPONSIBILITIES:

- Lead the design, development, and operation of a scalable and secure data platform to support analytics, ML Ops, and business intelligence
- Collaborate closely with Data Science, Machine Learning, Application and DevOps teams to implement end-to-end ML Ops pipelines
- Architect and manage data warehousing solutions using Databricks, Dbt, and Spark
- Develop and maintain ETL/data pipelines that handle structured and unstructured data across diverse sources
- Optimize data storage, access, and processing for cost-efficiency and performance in GCP and AWS Cloud environments
- Build and maintain dashboards and analytics solutions using tools such as Sigma, Metabase, and other BI platforms
- Ensure compliance with data governance, security, and privacy best practices, including HIPAA, SOC-2, and other regulatory requirements
- Evaluate and integrate third-party anonymization and security solutions to protect sensitive data
- Provide strategic guidance on the evolution of the data platform to meet the company's growth and technical needs
- Design and implement scalable infrastructure for Large Language Model (LLM) operations, including training, fine-tuning, and inference workflows
- Collaborate with AI/ML teams to build and optimize LLM serving platforms for real-time and batch processing
- Develop monitoring and observability solutions for LLMs, ensuring model performance, cost-efficiency, and compliance with ethical AI guidelines
- Evaluate and integrate state-of-the-art LLM technologies into existing data platforms to enhance analytics and decision-making

## QUALIFICATIONS:

- Bachelor's or Master's Degree in Computer Science or equivalent experience
- 5+ years of industry experience in designing and building large-scale data platforms
- Strong expertise in SQL, Data Modeling, and Data Warehousing (Databricks, Snowflake, Redshift, BigQuery, etc.)
- Proficiency in writing Advanced SQLs and performance tuning
- Strong proficiency in Python for building, optimizing, automating and maintaining data pipelines and services
- Deep experience with Apache Spark and distributed data processing frameworks
- Hands-on experience with modern ETL/Orchestration frameworks such as Airflow, dbt, and others
- Knowledge of business intelligence tools such as Sigma, Metabase, Tableau, and Looker
- Strong familiarity with cloud-based infrastructure and managed data services in GCP and AWS Cloud
- Experience with CI/CD pipelines to automate testing, deployment and release of data engineering and analytics workflows using GitLab, GitHub etc
- Experience with tools like Kubernetes, Terraform, Pubsub, Debezium
- Exposure building data quality frameworks and automation
- Understanding of data governance, privacy, and regulatory frameworks (HIPAA, SOC-2, HITRUST)

## NICE TO HAVE:

- Experience working with ML Ops platforms and supporting Data Science teams
- Experience with ML Ops tools such as MLflow, Streamlit, and vector databases
- Familiarity with healthcare data standards (FHIR, HL7)
- Experience in real-time data processing and event-driven architectures
- Expertise in implementing data access controls and anonymization techniques

## SALARY AND BENEFITS:

We offer competitive salary and benefits, including 401(k) matching, health, vision, and dental insurance, and very flexible paid time off.

The typical salary range for this role is $150,000 to $170,000 USD, depending on skills, qualifications, and relevant experience.

## BACKGROUND CHECKS:

As a health technology company, we reserve the right to run background checks on candidates to whom we extend offers, in compliance with applicable laws. We evaluate candidates holistically and comply with all “ban the box” regulations.

## ASSISTANCE:

If you have a disability or require accommodations during the application or recruitment process, please contact careers@ellipsishealth.com.

## About Ellipsis Health

## Company Overview
- **One-liner**: Ellipsis Health provides an emotionally intelligent AI care manager, Sage, that automates patient engagement, clinical assessments, and care coordination for health plans, health systems, specialty care, and pharmaceutical companies.
- **Entity Type**: Private (Series A-II; total funding $75.39M)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2017
- **Founders**: Not publicly available

## Core Business
- Primary industry: Healthcare AI / Healthcare IT
- Target customers: B2B – health plans, health systems, specialty care providers, and pharmaceutical companies
- Mission/purpose: To deliver empathetic, autonomous virtual care management that reduces administrative burden, improves patient outcomes, and enables care teams to work at the top of their licenses.

## Products & Services
- **[Sage – AI Care Manager](https://ellipsishealth.com/product/)**: An agentic AI platform that conducts fully autonomous, natural-language calls with patients. Use cases include program enrollment & engagement, clinical assessments (HRAs, HOS, HCAHPS), care coordination, medication adherence, discharge check-ins, and preventive care outreach. Sage is multilingual, HIPAA and SOC2 Type 2 compliant, and designed with clinical oversight.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: Annual revenue ~$8.1M (LinkedIn estimate) – not independently verified; total disclosed funding $75.39M (CB Insights) / $79.1M (LinkedIn)
- **Notable Investors/Partners**: Khosla Ventures (lead Series A), Salesforce, Mitsui & Co. Global Investment, AME Cloud Ventures, Colliers, and 30+ other investors. Strategic partnerships with Salesforce (Sage integrated into Salesforce Health Cloud) and NVIDIA (to enhance NLP capabilities).
- **Growth Signals**: Headcount grew 60% YoY to 60 employees; LinkedIn followers +80% YoY. Raised $45M Series A-II in July 2025. Filed 14 patents around psychiatric diagnosis, computational linguistics, and mood disorders.

## Competitive Advantages
- **Emotionally intelligent, conversational AI** that adapts to patient tone and responses, driving higher engagement than rigid IVR systems.
- **Healthcare-native security and compliance**: HIPAA, SOC2 Type 2, end-to-end encryption, and continuous third-party audits.
- **Clinical oversight** built into AI operations, preserving trust and safety.
- **Proprietary acoustic and NLP models** for voice-based screening and monitoring of behavioral health conditions.
- **Pre-built integrations** with EHRs and Salesforce Health Cloud, reducing deployment friction.

## Strategic Focus
- Deepen integration with major health IT ecosystems (Salesforce, EHRs).
- Expand use cases into medication adherence and preventive care.
- Scale the platform through partnerships (Clearstep, NVIDIA) to reach more health plans and systems.
- Continue patenting voice-AI innovations for broader clinical applications.

## Why Work Here
- Opportunity to build cutting-edge AI in a regulated, high-impact industry (healthcare).
- Cross-functional team with backgrounds from top tech and healthcare companies.
- Remote-friendly culture with employees across the US, Canada, India, and Brazil.
- Current open roles (via [Ashby](https://jobs.ashbyhq.com/ellipsis-health)): Frontend Engineer, Backend Engineer, Senior Full-Stack Engineer, Technical Recruiter – Healthcare AI.
- Engineering-led environment with strong emphasis on AI safety, ethical AI, and clinical rigor.

## Sources
1. [ellipsishealth.com](https://ellipsishealth.com/)
2. [cbinsights.com](https://www.cbinsights.com/company/ellipsis-health)
3. [linkedin.com](https://www.linkedin.com/company/ellipsis-health)
4. [ellipsishealth.com/product](https://ellipsishealth.com/product/)
5. [ellipsishealth.com/careers](https://ellipsishealth.com/careers/)

## Other roles at Ellipsis Health

- [Senior Data Scientist](https://feeny.ai/job/senior-data-scientist-ellipsis-health-san-francisco-nvrrg0sesgcw) — San Francisco, CA
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- [VP Provider Sales](https://feeny.ai/job/vp-provider-sales-ellipsis-health-san-francisco-vf5z5zaxjgnz) — San Francisco, CA
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- [Senior QA Engineer, Forward Deployed](https://feeny.ai/job/senior-qa-engineer-forward-deployed-ellipsis-health-san-francisco-f38237rrjb4c) — San Francisco, CA
- [Senior Software Development Engineer in Test (SDET), Salesforce](https://feeny.ai/job/senior-software-development-engineer-in-test-sdet-salesforce-ellipsis-health-5k4aezzb9q88) — San Francisco, CA