What we do

We’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, using data science and machine learning to automate much of this complexity, so healthcare providers can get paid dramatically more easily and inexpensively.

Since finishing the Y Combinator W20 batch we've been funded by an incredible group of funds + angel investors. We have many more customers begging to use our product than we have bandwidth to serve, which is why we need you to help us scale!

The Role

At Candid Health, we’re searching for our founding Lead 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. You will architect and build our data platform from the ground up, select tools, codify best practices, and lead and mentor others. As the first Lead 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 we do

We’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!

What You’ll Do

• Collaborate 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 Are

• You have Bachelors of Science or Bachelors of Art in Computer Science, Computer Engineering, Math or other similar degree.
• You have 6+ 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 experience with selection and implementation of new tools and process.
• 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.

Our Values

We 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 first
• We take care of each other and ourselves
• We anchor on outcomes and work relentlessly and creatively to achieve them
• We collectively prioritize building a diverse and inclusive workspace
• We believe humility is our greatest strength
• We are candid, kind, and committed
• We strive to be the most prepared person in the room
• We are truth seekers

Pay Transparency

The estimated starting annual salary range for this position is $150,000 to $212,000 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.

Back: modern Python (async, type annotated) ~mini services, Celery + Redis for task queues, Postgres.

Front: Typescript + React. Good use of hooks + styled components.

Infra: Containerize all the things. docker-compose locally, Kuberntes + Istio on GCP. Pretty sophisticated developer tooling + CI (Github Actions) given our size.