Analytics Engineer
San Francisco · Denver · New York City · San Francisco, California, United States
- Pay
USD 135,000–180,000/year — pay source
Pay Transparency The estimated starting annual salary range for this position is $135,000 to $180,000 USD. The listed range is a guideline from Pave data, and the actual base salary may be modified based on factors including job-related skills, experience/qualifications, interview performance, market data, etc. Total compensation for this position may also include equity, sales incentives (for sales roles), and employee benefits. Given Candid Health’s funding and size, we heavily value the potential upside from equity in our compensation package. Further note that Candid Health has minimal hierarchy and titles, but has broad ranges of experience represented within roles
Read the full posting- Work setting
On-site — work setting source
Location type: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Engineering — team source
Department: Engineering
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Do you now or in the future require a visa transfer or sponsorship for employment visa status? (e.g., H-1B, TN, E-3, F-1 visa status)
From the employer’s application form
What you’ll work on
Full postingBuild and deliver reporting, analytics, and data models for varying use cases
Improve and scale data infrastructure to support future ML and AI products
Deep dive with engineers to understand complex production data
Keep tooling and visualization platforms accurate and available
From the employer’s posting
Build and deliver critical reporting, analytics, and data models for varying use cases
This role will improve and scale our data infrastructure, enabling future ML and AI products
Deep dive with engineers to understand complex production data
Ensure that tooling and visualization platforms are accurate and available
What you’ll bring
All qualificationsCore experience
- 4+ years in data science, analytics, or data engineering
- Bachelor's degree in math, science, engineering, or another data-intensive field
- Hands-on experience with Snowflake, BigQuery, or Redshift
- Strong SQL skills, including in complex data environments
- Experience with data models, data pipelines, and analysis
Qualification wording
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 Bachelors degree in Math, Science, Engineering, or another data intensive field of study such as Library Science
You have hands on experience working with common data warehouses such as Snowflake, BigQuery, or Redshift
You have a strong understanding of SQL and have used it in complex data environments
You have experience working with data models, data pipelines and performing analysis
Education & alternatives
Who You Are - You have Bachelors degree in Math, Science, Engineering, or another data intensive field of study such as Library Science - 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
Tools in this posting
- Python
- SQL
- BigQuery
- dbt
- Metabase
- Redshift
- Snowflake
- Terraform
- GCP
Source — Tool mentions in context
- You’re a clear and concise communicator; you enjoy the challenge of explaining complicated ideas in simple terms, both in-person and in writing. - Experience or exposure with the broader set of technologies in our ecosystem: Google Cloud Platform (BigQuery), Metabase, Terraform, Python, DBT. Pay Transparency
- Enthusiasm for data modeling; hopefully you have opinions on slow changing dimensions - You have a strong understanding of SQL and have used it in complex data environments - You have well-developed opinions on modern data engineering and an ability to bring others up to speed
- You have experience working with data models, data pipelines and performing analysis - You have hands on experience working with common data warehouses such as Snowflake, BigQuery, or Redshift - Enthusiasm for data modeling; hopefully you have opinions on slow changing dimensions
Posting record
Report an errorOpen 4 monthsWe first saw this posting 149 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026 · 149 days ago
- Recorded sightings
- 114
- Last seen by us
- Oct 29, 2026
- Employer says posted
- May 11, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
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Job description
The Role
At Candid Health, we’re searching for an 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.
What You’ll Do
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
Who You Are
You have Bachelors degree in Math, Science, Engineering, or another data intensive field of study such as Library Science
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 experience working with data models, data pipelines and performing analysis
You have hands on experience working with common data warehouses such as Snowflake, BigQuery, or Redshift
Enthusiasm for data modeling; hopefully you have opinions on slow changing dimensions
You have a strong understanding of SQL and have used it in complex data environments
You have well-developed opinions on modern data engineering and an ability to bring others up to speed
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.
Experience or exposure with the broader set of technologies in our ecosystem: Google Cloud Platform (BigQuery), Metabase, Terraform, Python, DBT.
Pay Transparency
The estimated starting annual salary range for this position is $135,000 to $180,000 USD. The listed range is a guideline from Pave data, and the actual base salary may be modified based on factors including job-related skills, experience/qualifications, interview performance, market data, etc. Total compensation for this position may also include equity, sales incentives (for sales roles), and employee benefits. Given Candid Health’s funding and size, we heavily value the potential upside from equity in our compensation package. Further note that Candid Health has minimal hierarchy and titles, but has broad ranges of experience represented within roles
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Pay Transparency The estimated starting annual salary range for this position is $135,000 to $180,000 USD. The listed range is a guideline from Pave data, and the actual base salary may be modified based on factors including job-related skills, experience/qualifications, interview performance, market data, etc. Total compensation for this position may also include equity, sales incentives (for sales roles), and employee benefits. Given Candid Health’s funding and size, we heavily value the potential upside from equity in our compensation package. Further note that Candid Health has minimal hierarchy and titles, but has broad ranges of experience represented within roles
- Location & working pattern
San Francisco, California, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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