Data Engineer
The RoleAt Candid Health, we re searching for our first Data Engineer to design, build, and support our next generation of data infrastructure.
As a key strategic investment for the company and product, you will be working on highly impactful and visible outcomes.
This is an opportunity to get in at the ground floor of designing and building something exciting and new in a secure, durable, performant, and maintainable way with other top-tier talent.
As the first Data Engineer at Candid Health, you will report to the Head of Engineering and will help to build out a world-class Data Team.
What You ll DoCollaborate with leadership, delivery, engineering, product, and customers:
Collaborate with leadership and other stakeholders to understand Candid s data needs.
Work with product and engineering to understand the long-term product strategy and broader technical architecture.
Work with customers to understand their needs and how best to address them in a scalable way.
Expansively own Data Engineering team outcomes:
Deliver on Data Team outcomes for both internal teams and external customers, which include both operational and analytics workflows.
Lead design of new data infrastructure:
Research and identify industry best practices and state-of-the-art tools to leverage.
Design new systems to support the necessary outcomes in a secure, durable, performant, and maintainable way.
Build and support new data products:
Build datasets, pipelines, and other solutions to support operational and product outcomes.
Develop support systems to scale the team and achievable outcomes.
Who You AreYou have Bachelors of Science or Bachelors of Art in Computer Science, Computer Engineering, Math or other similar degree.
You have 4
years of experience working with data pipelines, products, and tools.
You ve built and maintained complex data integrations or pipelines.
You have well-developed opinions on modern data warehouse architecture, tools, and patterns.
You have excellent technical vision; you know the right architecture and patterns to build functional, durable, and maintainable product.
You have a customer-first and learner s mindset, and value teaching others.
You make the right trade-offs when considering project scope, which corners are worth cutting, and which are not.
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 with the technologies we currently use is a plus, but by no means required:
Google Cloud Platform, BigQuery, PostgreSQL, Metabase, Terraform, Python.
What we doWe re fixing one of the most broken and costly pieces of the US healthcare system:
medical billing.
Today, healthcare providers spend over $250B each year on administrative overhead just to get paid by insurance.
Medical billing is expensive because it s nuanced and hard - maybe 100x harder than credit card payment processing - and because it s traditionally done by armies of humans who track and manage complex rules and processes specific to individual insurance companies with little or no supporting software.
We re rethinking medical billing from the ground up, building software backed by best-in-class data science (and, soon, a dash of machine learning) to automate much of this complexity so healthcare providers can get paid dramatically more easily and inexpensively.
We were in the Y Combinator W20 batch and have since been well funded by a world-class group of funds (8VC, First Round Capital, BoxGroup)
angel investors.
We're now helping our customers treat opioid addiction, provide holistic care for women, lose weight, increase access to mental health care, and much more.
This is such important and gratifying work; we can't wait for you to join our team and help support some of the most important innovation happening in healthcare today!Our ValuesWe spend at least as much time with our coworkers as we do with our closest friends
family - if we intend to do the most important
challenging work of our lives, it s important that these folks energize us, support us, inspire us, and push us to do our best work.
This is what you can expect of your teammates at Candid (in no particular order):
We put our customers firstWe take care of each other and ourselvesWe anchor on outcomes and work relentlessly and creatively to achieve themWe collectively prioritize building a diverse and inclusive workspaceWe believe humility is our greatest strengthWe are candid, kind, and committedWe strive to be the most prepared person in the roomWe are truth seekersPay TransparencyThe estimated starting annual salary range for this position is $150,000 to $200,000 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.
LocationSan Francisco, Denver, NYCTypeFull timeDepartmentEngineering.
Estimated Salary: $20 to $28 per hour based on qualifications.
As a key strategic investment for the company and product, you will be working on highly impactful and visible outcomes.
This is an opportunity to get in at the ground floor of designing and building something exciting and new in a secure, durable, performant, and maintainable way with other top-tier talent.
As the first Data Engineer at Candid Health, you will report to the Head of Engineering and will help to build out a world-class Data Team.
What You ll DoCollaborate with leadership, delivery, engineering, product, and customers:
Collaborate with leadership and other stakeholders to understand Candid s data needs.
Work with product and engineering to understand the long-term product strategy and broader technical architecture.
Work with customers to understand their needs and how best to address them in a scalable way.
Expansively own Data Engineering team outcomes:
Deliver on Data Team outcomes for both internal teams and external customers, which include both operational and analytics workflows.
Lead design of new data infrastructure:
Research and identify industry best practices and state-of-the-art tools to leverage.
Design new systems to support the necessary outcomes in a secure, durable, performant, and maintainable way.
Build and support new data products:
Build datasets, pipelines, and other solutions to support operational and product outcomes.
Develop support systems to scale the team and achievable outcomes.
Who You AreYou have Bachelors of Science or Bachelors of Art in Computer Science, Computer Engineering, Math or other similar degree.
You have 4
years of experience working with data pipelines, products, and tools.
You ve built and maintained complex data integrations or pipelines.
You have well-developed opinions on modern data warehouse architecture, tools, and patterns.
You have excellent technical vision; you know the right architecture and patterns to build functional, durable, and maintainable product.
You have a customer-first and learner s mindset, and value teaching others.
You make the right trade-offs when considering project scope, which corners are worth cutting, and which are not.
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 with the technologies we currently use is a plus, but by no means required:
Google Cloud Platform, BigQuery, PostgreSQL, Metabase, Terraform, Python.
What we doWe re fixing one of the most broken and costly pieces of the US healthcare system:
medical billing.
Today, healthcare providers spend over $250B each year on administrative overhead just to get paid by insurance.
Medical billing is expensive because it s nuanced and hard - maybe 100x harder than credit card payment processing - and because it s traditionally done by armies of humans who track and manage complex rules and processes specific to individual insurance companies with little or no supporting software.
We re rethinking medical billing from the ground up, building software backed by best-in-class data science (and, soon, a dash of machine learning) to automate much of this complexity so healthcare providers can get paid dramatically more easily and inexpensively.
We were in the Y Combinator W20 batch and have since been well funded by a world-class group of funds (8VC, First Round Capital, BoxGroup)
angel investors.
We're now helping our customers treat opioid addiction, provide holistic care for women, lose weight, increase access to mental health care, and much more.
This is such important and gratifying work; we can't wait for you to join our team and help support some of the most important innovation happening in healthcare today!Our ValuesWe spend at least as much time with our coworkers as we do with our closest friends
family - if we intend to do the most important
challenging work of our lives, it s important that these folks energize us, support us, inspire us, and push us to do our best work.
This is what you can expect of your teammates at Candid (in no particular order):
We put our customers firstWe take care of each other and ourselvesWe anchor on outcomes and work relentlessly and creatively to achieve themWe collectively prioritize building a diverse and inclusive workspaceWe believe humility is our greatest strengthWe are candid, kind, and committedWe strive to be the most prepared person in the roomWe are truth seekersPay TransparencyThe estimated starting annual salary range for this position is $150,000 to $200,000 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.
LocationSan Francisco, Denver, NYCTypeFull timeDepartmentEngineering.
Estimated Salary: $20 to $28 per hour based on qualifications.
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