Ellipsis Health is creating cutting-edge AI/ML products that solve healthcare staffing issues and administrative burdens using conversational AI and our patented voice biomarker technology in the delivery of better healthcare for everyone. We are headquartered in Silicon Valley and are funded and supported by some of the most preeminent venture capital teams.

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

Ellipsis Health is located in the San Francisco Bay Area, but we are open to remote candidates for this role. However, they must be in the U.S.

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RESPONSIBILITIES

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• Design, develop, and operation of a scalable and secure data platform to support analytics, ML Ops, and business intelligence

• Collaborate closely with Data Science, Machine Learning, and DevOps teams to implement end-to-end ML Ops pipelines

• Develop and maintain ETL/data pipelines that handle structured and unstructured data across diverse sources using platforms such as Databricks, Snowflake, and Spark

• Optimize data storage, access, and processing for cost-efficiency and performance in AWS and Google Cloud environments

• Build and maintain dashboards and analytics solutions using tools such as Metabase, Sigma, and other BI platforms

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QUALIFICATIONS

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• Bachelor's or Master's Degree in Computer Science or equivalent

• 6+ years of industry experience in designing and building large-scale data platforms

• Strong expertise in SQL, Data Modeling, and Data Warehousing (Snowflake, Databricks, Redshift, BigQuery, etc.)

• Experience in orchestration frameworks like Airflow or DBT Cloud

• Deep experience with Apache Spark and distributed data processing frameworks

• Proficiency in Python and shell scripting for data engineering and automation

• Hands-on experience with modern ETL frameworks such as Airflow, dbt, and others

• Experience working with ML Ops platforms and supporting Data Science teams

• Knowledge of business intelligence tools such as Metabase, Sigma, Tableau, and Looker

• Strong familiarity with cloud-based infrastructure and managed data services in AWS and Google Cloud

• Understanding of data governance, privacy, and regulatory frameworks (HIPAA, SOC-2, HITRUST)

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NICE TO HAVE

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• Experience with ML Ops tools such as MLflow, Streamlit, and vector databases

• Familiarity with healthcare data standards (FHIR, HL7 Streams)

• Experience in real-time data processing and event-driven architectures

• Expertise in implementing data access controls and anonymization techniques

• Experience in deploying and managing Large Language Models (LLMs) in production, including model versioning, inference scaling, and fine-tuning workflows

• Familiarity with vector databases (e.g., FAISS, Weaviate, Pinecone) and retrieval-augmented generation (RAG) architectures

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SALARY AND BENEFITS​​​

We offer competitive salary and benefits, including 401k matching up to a certain percentage of your salary, health, vision, and dental insurance, and very flexible paid time off. The typical salary range for this role is $135,000 to $170,000 USD. The amount offered will be determined by a variety of factors including but not necessarily limited to your individual skills, qualifications, and past experience relative to the requirements of the role.

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BACKGROUND CHECKS

As a health technology company, we reserve the right to run a background check on any applicant to which we extend an offer and to re-perform any such check at any time during the course of employment. Please know that there is no set policy on rejecting candidates because of certain background check results, and that we look at a candidate as a whole before making any decisions. We comply with all “ban the box” laws in applicable jurisdictions.​

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ASSISTANCE

If you have a disability or otherwise require any assistance whatsoever in the application or recruitment process, please feel free to submit a request to careers@ellipsishealth.com.

Apply Now  Please email resume to careers@ellipsishealth.com