Senior Data Platform Engineer - ML Ops & Cloud Data

Ellipsis Health, Inc.; San Francisco (CA); Hybrid; USD 150,000 - 170,000; Full time

Benefits offered by this job

401(k) matching

Health insurance

Vision insurance

Dental insurance

Flexible paid time off

Job summary

Ellipsis Health, Inc. is looking for an experienced Senior Data Platform Engineer to develop and sustain advanced data platforms. This role involves leading the design and implementation of scalable infrastructures for analytics and ML Ops, with key collaboration across teams.

Located in San Francisco with hybrid options, the position offers a competitive salary range of $150,000 to $170,000, depending on qualifications and experience. The candidate should possess strong expertise in SQL, data modeling, and cloud-based services.

Qualifications

• 5+ years of industry experience in designing and building large-scale data platforms.
• Strong expertise in SQL and Data Warehousing technologies.
• Deep experience with Apache Spark and distributed data processing frameworks.

Responsibilities

• Lead the design and operation of a scalable data platform for analytics.
• Collaborate with teams to implement ML Ops pipelines.
• Develop and maintain ETL/data pipelines across diverse sources.

Skills

SQL

Data Modeling

Data Warehousing (Databricks, Snowflake, Redshift, BigQuery)

Python

Apache Spark

ETL/Orchestration frameworks (Airflow, dbt)

Business Intelligence tools (Sigma, Metabase, Tableau, Looker)

Cloud Infrastructure (GCP, AWS)

CI/CD pipelines (GitLab, GitHub)

Kubernetes

Terraform

Education

Bachelor's or Master's Degree in Computer Science

Tools

Databricks

Snowflake

Redshift

BigQuery

MLflow

Streamlit

Pubsub

Job description

Ellipsis Health, Inc. is looking for an experienced Senior Data Platform Engineer to develop and sustain advanced data platforms. This role involves leading the design and implementation of scalable infrastructures for analytics and ML Ops, with key collaboration across teams.

Located in San Francisco with hybrid options, the position offers a competitive salary range of $150,000 to $170,000, depending on qualifications and experience. The candidate should possess strong expertise in SQL, data modeling, and cloud-based services.