C
Candid Health
BI Analytics Engineer
Skills
Google Cloud PlatformSQL QueriesData EngineeringPythonData ScienceSnowflakeGoogle BigQueryData AnalysisMetabasedbtTerraform
2 months ago
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Important information
Contract type:
Permanent
Salary:
$135,000 – $180,000 / year
Location:
San Francisco, CA, USA
Work mode:
Onsite
Published on:
29 August 2026
What they need
- At Candid Health, we’re searching for our first BI (Analytics) Engineer to bridge Analytics Engineering, Business Intelligence, and Data Analysis
- As a key strategic investment for the company and product, you will be responsible for the data modeling and pipelines that enable our downstream data products
- You will work closely with stakeholders across the business and play a foundational role in scaling the data team. Candid Health is positioned to unlock transformative technology for healthcare providers and the BI Engineer will play a critical role in that effort
- Own Data Modeling as a Practice: Build and deliver critical reporting, analytics, and data models for varying use cases. You will be the standardbearer for operational excellence in our efforts to extrapolate data for meaningful outcomes
- Set the Foundation for Future Data Work: We have ambitious plans to leverage data as a key component to our long term product strategy. This role will improve and scale our data infrastructure, enabling future ML and AI products
- Implement New Processes and Systems for Data Collection and Analysis: Deep dive with engineers to understand complex production data. Ensure that tooling and visualization platforms are accurate and available- You have well-developed opinions on modern data engineering and an ability to bring others up to speed
- Enthusiasm for data modeling; hopefully you have opinions on slow changing dimensions
- You have 4+ years of experience working in a Data Science, Data Analytics, or Data Engineering at a high growth startup or scaled technical organization
- You have hands on experience working with common data warehouses such as Snowflake, BigQuery, or Redshift
- You have Bachelors degree in Math, Science, Engineering, or another data intensive field of study such as Library Science
- Experience or exposure with the broader set of technologies in our ecosystem: Google Cloud Platform (BigQuery), Metabase, Terraform, Python, DBT
- You have experience working with data models, data pipelines and performing analysis
- You have a strong understanding of SQL and have used it in complex data environments
- You thrive in ambiguity and enjoy tackling complex tasks that have significant impact on the business at large
- You’re a clear and concise communicator; you enjoy the challenge of explaining complicated ideas in simple terms, both in-person and in writing
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