Analytics Engineer: Data Modeling & Pipelines

candidhealth; San Francisco (CA); Hybrid; USD 135,000 - 180,000; Full time

Job summary

Candid Health is actively seeking an Analytics Engineer to connect Analytics Engineering, Business Intelligence, and Data Analysis. This role is crucial for building data models and pipelines that support our data products, while facilitating collaboration across the business.

The ideal candidate will possess a Bachelor's degree in a relevant field and have over 4 years of experience in data-oriented roles, with expertise in SQL and cloud technologies like Snowflake and BigQuery. The compensation range is $135,000 to $180,000 USD annually, including potential equity.

Qualifications

• 4+ years of experience in Data Science, Data Analytics, or Data Engineering.
• Experience with data models and data pipelines.
• Strong understanding of SQL in complex data environments.

Responsibilities

• Build and deliver critical reporting, analytics, and data models.
• Improve and scale data infrastructure for future ML and AI products.
• Ensure accurate tooling and visualization platforms.

Skills

Data modeling

SQL

Data analysis

Data pipelines

Cloud technologies

Communication

Education

Bachelor's degree in Math, Science, Engineering, or related field

Tools

Snowflake

BigQuery

Redshift

Google Cloud Platform

Python

DBT

Job description

Candid Health is actively seeking an Analytics Engineer to connect Analytics Engineering, Business Intelligence, and Data Analysis. This role is crucial for building data models and pipelines that support our data products, while facilitating collaboration across the business.

The ideal candidate will possess a Bachelor's degree in a relevant field and have over 4 years of experience in data-oriented roles, with expertise in SQL and cloud technologies like Snowflake and BigQuery. The compensation range is $135,000 to $180,000 USD annually, including potential equity.