Senior Data Platform Engineer

Job-ID: 8c44835f-2bf7-4976-9004-f3707781cd65Location: San Francisco, California, United StatesSalary: USD 150000 - 170000 yearEmployment type: FULL TIMEPosted: 2026-06-05Ellipsis 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 intelligenceCollaborate closely with Data Science, Machine Learning, Application and DevOps teams to implement end-to-end ML Ops pipelinesArchitect and manage data warehousing solutions using Databricks, Dbt, and SparkDevelop and maintain ETL/data pipelines that handle structured and unstructured data across diverse sourcesOptimize data storage, access, and processing for cost-efficiency and performance in GCP and AWS Cloud environmentsBuild and maintain dashboards and analytics solutions using tools such as Sigma, Metabase, and other BI platformsEnsure compliance with data governance, security, and privacy best practices, including HIPAA, SOC-2, and other regulatory requirementsEvaluate and integrate third-party anonymization and security solutions to protect sensitive dataProvide strategic guidance on the evolution of the data platform to meet the company's growth and technical needsDesign and implement scalable infrastructure for Large Language Model (LLM) operations, including training, fine-tuning, and inference workflowsCollaborate with AI/ML teams to build and optimize LLM serving platforms for real-time and batch processingDevelop monitoring and observability solutions for LLMs, ensuring model performance, cost-efficiency, and compliance with ethical AI guidelinesEvaluate and integrate state-of-the-art LLM technologies into existing data platforms to enhance analytics and decision-makingQualifications:Bachelor's or Master's Degree in Computer Science or equivalent experience5+ years of industry experience in designing and building large-scale data platformsStrong expertise in SQL, Data Modeling, and Data Warehousing (Databricks, Snowflake, Redshift, BigQuery, etc.)Proficiency in writing Advanced SQLs and performance tuningStrong proficiency in Python for building, optimizing, automating and maintaining data pipelines and servicesDeep experience with Apache Spark and distributed data processing frameworksHands-on experience with modern ETL/Orchestration frameworks such as Airflow, dbt, and othersKnowledge of business intelligence tools such as Sigma, Metabase, Tableau, and LookerStrong familiarity with cloud-based infrastructure and managed data services in GCP and AWS CloudExperience with CI/CD pipelines to automate testing, deployment and release of data engineering and analytics workflows using GitLab, GitHub etcExperience with tools like Kubernetes, Terraform, Pubsub, DebeziumExposure building data quality frameworks and automationUnderstanding of data governance, privacy, and regulatory frameworks (HIPAA, SOC-2, HITRUST)Nice to Have:Experience working with ML Ops platforms and supporting Data Science teamsExperience with ML Ops tools such as MLflow, Streamlit, and vector databasesFamiliarity with healthcare data standards (FHIR, HL7)Experience in real-time data processing and event-driven architecturesExpertise in implementing data access controls and anonymization techniquesSalary 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 View email address on click.appcast.io.