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Senior Data Platform Engineer

Ellipsis · San Francisco - Hybrid · Remote

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About Ellipsis

Cloud platform for coding agents. Backed by Khosla.

About the role

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

What they're looking for

  • 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
More about this role

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.

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...

Read the full posting on Ellipsis's site ↗

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