Data Analytics Engineer
dv01Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
New York, New York, United States
Key technologies and capabilities for this role
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Required skills include hands-on experience with data warehouses like Snowflake, BigQuery, or Redshift, strong SQL understanding in complex environments, experience with data models and pipelines, and clear communication skills.
You'll work closely with stakeholders, play a foundational role in scaling the data team, and collaborate with engineers on complex production data.
A strong candidate has a Bachelor’s degree in a data-intensive field, experience with data modeling and pipelines, enthusiasm for data modeling like slow-changing dimensions, and well-developed opinions on modern data engineering with strong communication skills.
Automated revenue cycle management platform for healthcare
Candid Health specializes in automated revenue cycle management for healthcare providers. Its platform identifies and resolves issues that impact revenue cycles, helping to optimize insurance collections. The platform is designed to integrate seamlessly with various healthcare infrastructures, whether custom-built or commercial. Clients pay a subscription fee for access to the platform, which allows them to streamline their billing processes and improve revenue collection rates. Candid Health differentiates itself by focusing on automation and ease of integration, making it a reliable choice for healthcare providers seeking efficient billing solutions. The company's goal is to enhance the financial performance of healthcare providers by simplifying and improving their revenue cycle management.