Ellipsis Health
Senior Data Platform Engineer
San Francisco - Hybrid · Senior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$15,131 more — $165,131 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $165,131 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- 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.
Responsibilities
- Lead the design, development, and operation of a scalable and secure data platform to support analytics, ML Ops, and business intelligence
- 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
- 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
- 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.
Requirements
- Bachelor's or Master's Degree in Computer Science or equivalent experience
- 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
- 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
- 5+ years of industry experience in designing and building large-scale data platforms
- Strong familiarity with cloud-based infrastructure and managed data services in GCP and AWS Cloud
- 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
- Experience in real-time data processing and event-driven architectures
- Expertise in implementing data access controls and anonymization techniques
- We evaluate candidates holistically and comply with all "ban the box" regulations.
Compensation
- The typical salary range for this role is $150,000 to $170,000 USD, depending on skills, qualifications, and relevant experience.
Benefits
- We offer competitive salary and benefits, including 401(k) matching, health, vision, and dental insurance, and very flexible paid time off.
- 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.
- If you have a disability or require accommodations during the application or recruitment process, please contact careers@ellipsishealth.com.
- Collaborate closely with Data Science, Machine Learning, Application and DevOps teams to implement end-to-end ML Ops pipelines
Company info
- We are located in the San Francisco Bay Area, but we are open to remote candidates for this role anywhere in the US.
This listing is sourced directly from Ellipsis Health's careers page and normalized into a canonical job model.