Candid Health
Analytics Engineer
$135K–$180K
San Francisco +2 · On-site · Full-time · Posted May 11, 2026
- Location
- San Francisco
Denver
New York City - Experience
- 4+ years; experience in Data Science, Data Analytics, or Data Engineering.
- Education
- Bachelor’s degree in Math, Science, Engineering, or another data-intensive field of study such as Library Science.
About the job
Build and scale data models, pipelines, and analytics infrastructure that support business reporting and future data products.
What you'll do
- Develop and maintain reporting, analytics, and data models for varied use cases.
- Improve and scale data infrastructure to support future machine learning and AI products.
- Work with engineers to understand production data and ensure data collection, analysis tools, and visualizations are accurate and available.
What they ask for
- Bachelor’s degree in Math, Science, Engineering, or another data-intensive field.
- 4+ years of experience in Data Science, Data Analytics, or Data Engineering at a high-growth startup or scaled technical organization.
- Experience with data models, data pipelines, and analysis; hands-on experience with a data warehouse such as Snowflake, BigQuery, or Redshift.
- Strong SQL skills in complex data environments.
Nice to have
- Exposure to Google Cloud Platform (BigQuery), Metabase, Terraform, Python, or DBT.
- Well-developed opinions on modern data engineering and ability to bring others up to speed.
Pay
$135,000 to $180,000 USD (base salary)
Tools
Snowflake, BigQuery, Redshift, Google Cloud Platform, Metabase, Terraform, Python, DBT
AI focus
Scale data infrastructure to enable future ML and AI products.
Model-written summary · the original posting is authoritative