Ellipsis Health

Ellipsis Health

Senior Data Platform Engineer

San Francisco - Hybrid · Senior

Sponsorship not specified$150k-$170kDetected 47 days ago
PythonGitSQLBigQuerySnowflakeRedshiftDatabricksVector DatabasesAWSGCPCloud PlatformsKubernetesTerraformCI/CDDevOpsPlatform EngineeringMachine LearningSparkAirflowdbtData EngineeringData ScienceData VisualizationNLP

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.
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This listing is sourced directly from Ellipsis Health's careers page and normalized into a canonical job model.