C

Candid Health

Automates healthcare revenue cycle management.

Analytics Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree in Math, Science, Engineering, or another data-intensive field of study, such as Library Science.
  • At least 4 years of experience working in Data Science, Data Analytics, or Data Engineering at a high-growth startup or scaled technical organization.
  • Experience working with data models and data pipelines, and performing analysis.
  • Hands-on experience with common data warehouses such as Snowflake, BigQuery, or Redshift.
  • A strong understanding of SQL and experience using it in complex data environments.
  • Well-developed opinions on modern data engineering and the ability to bring others up to speed.
  • Experience or exposure to the broader technology ecosystem, including Google Cloud Platform (BigQuery), Metabase, Terraform, Python, and DBT.

Responsibilities

  • Build and deliver critical reporting, analytics, and data models for varying use cases, and establish operational excellence in extracting data for meaningful outcomes.
  • Improve and scale data infrastructure to support future data work and enable machine learning and artificial intelligence products.
  • Work with engineers to understand complex production data and implement new processes and systems for data collection and analysis.
  • Ensure that tooling and visualization platforms are accurate and available.

Desired Qualifications

  • Enthusiasm for data modeling, with opinions on slowly changing dimensions.
  • Ability to thrive in ambiguity and tackle complex tasks with significant business impact.
  • Ability to communicate clearly and concisely and explain complex ideas simply, both verbally and in writing.

About the Company

Candid Health

Automates healthcare revenue cycle management.

Candid Health automates revenue cycle management for healthcare providers. Its platform monitors the billing and insurance-collection process, detects issues that slow or block payments, and automatically flags and fixes problems to optimize collections. The product integrates with both custom and commercial healthcare IT systems via APIs to fit into existing workflows, and is offered on a subscription basis. This combination of automated issue detection, auto-remediation, and seamless integration distinguishes it from competitors by focusing on reducing manual billing effort and improving cash flow. The company’s goal is to help healthcare providers increase payment capture rates and shorten the time to reimbursement.

Company size
201-500
Company stage
Series D
Total funding
$217.8M
Headquarters
San Francisco, CA
Founded
2019

Recently Posted Jobs

Explore more opportunities at Candid Health

See more jobs