Analytics Engineer: Data Modeling & Pipelines for Health

Candid Health; New York (NY); On-site; USD 135,000 - 180,000; Full time

Benefits offered by this job

Equity options

Sales incentives

Employee benefits

Job summary

Candid Health is seeking an Analytics Engineer to join their team in New York, NY. This position focuses on bridging analytics engineering, business intelligence, and data analysis, playing a crucial role in scaling the data team.

The ideal candidate will possess strong data modeling skills, experience with data warehouses, and a passion for tackling complex data tasks. The estimated salary range is $135,000 to $180,000 annually, reflective of skills and experience, plus equity options.

Qualifications

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

Responsibilities

• Own data modeling and deliver critical reporting and data models.
• Improve and scale data infrastructure for future ML and AI products.
• Ensure tooling and visualization platforms are accurate.

Skills

Data modeling

SQL

Data pipelines

Data analysis

Communication

Google Cloud Platform

Education

Bachelor's degree in Math, Science, Engineering, or Library Science

Tools

Snowflake

BigQuery

Redshift

Metabase

Terraform

Python

DBT

Job description

Candid Health is seeking an Analytics Engineer to join their team in New York, NY. This position focuses on bridging analytics engineering, business intelligence, and data analysis, playing a crucial role in scaling the data team.

The ideal candidate will possess strong data modeling skills, experience with data warehouses, and a passion for tackling complex data tasks. The estimated salary range is $135,000 to $180,000 annually, reflective of skills and experience, plus equity options.