Arbital Health
Join to apply for the
Data Engineer
role at
Arbital Health Join to apply for the
Data Engineer
role at
Arbital Health At Arbital Health, we are transforming the US healthcare system by accelerating the shift from fee-for-service agreements to value-based care agreements. We do this by building a neutral, third-party platform that allows our customers to design, measure, and adjudicate value-based care agreements that maximize resources and help patients get the care they need to thrive. We are looking for highly talented and highly motivated individuals. You will be a roll-up-your-sleeves builder eager to innovate and collaborate to change healthcare.
Across all roles, we look for people who embody our values of impact, innovation, collaboration, velocity, and transparency.
We’ve built the initial production data pipelines that ingest, enrich, aggregate, and summarize healthcare financial data so it can be easily visualized in our web app by our customers. In addition to sophisticated financial calculations, this code matches patients against a benchmark population so that our clients can understand how their patients are doing in comparison to similar individuals. We're looking for an ambitious data scientist or data engineer to help us enhance and scale this core part of our platform.
Is this role right for you?
About
If you are excited about building a new healthcare data and analytics platform to support Value Based Care ( VBC) that will help reduce the cost of healthcare in the US and the following matches your skills, experience, and interests:
Programming in Python ( R is a plus) Development and deployment of a data intensive product on a SaaS platform Statistical or financial calculations, preferably with healthcare data
Responsibilities
Help build Arbital's highly scalable data pipelines and warehouses using platforms like AWS and Databricks Automate and maintain data workflows for enrichment, aggregation, and quality assurance Ensure data accuracy, integrity, privacy, security, and compliance through automated quality control procedures Work on a team with full-stack engineers and actuarial coders to implement end-to-end solutions for contract adjudication Implement and scale actuarially sound healthcare financial calculations Collaborate with actuarial science and delivery teams that primarily work in R and Excel Partner with data scientists to deploy machine learning models in production Contribute to the design, implementation, and overall development of our products Drive innovation and deliver valuable features for our customers
Requirements
Experience in data-intensive, SaaS platform development projects Demonstrated ability to scale new platforms into enterprise products Demonstrated history of being able to quickly understand complex modeling workflows and the big picture driving the need for them Ability to ship extremely high-caliber code and build exceptional products High level of attention to detail Ability to perform under minimal supervision with accountability for specific objectives and work in a rapidly changing, ambiguous start-up environment Passionate about improving and innovating Our team works hybrid from the San Francisco Bay Area. We will prioritize candidates who can work two days per week from our San Francisco office. We will also consider highly qualified remote candidates who can travel to San Francisco for in-person collaboration several days per month.
Nice To Have's
Startup experience is highly preferred Product development coding in R Extensive experience with Airflow, Databricks, Python, and AWS or GCP Tools we use include Infrastructure: AWS, GCP, Databricks, Airflow, Sigma, Datadog Core Tools: Python, R, SQL, Next.js , React, TypeScript, Tailwind CSS IDE: Cursor, VS Code, and R Studio Version Control: GitHub Team Planning: Jira, Confluence, Figma
The target salary range for this role is between $150,000-$160,000 +/- depending upon experience
Why Join Us?
We are assembling a team of creative, talented visionaries seeking to build a new technology that will change healthcare. You will be able to learn, build, and scale our team and technology in a collaborative, creative culture that values every team member.
We Offer
Generous equity grants of ISO stock options We offer an exceptional benefits package with high employer-paid contributions for health, dental, and vision insurance 4% 401(k) match Flexible PTO, a weeklong winter shutdown, and 10 holidays each year Flexible hybrid work blending 1-2x week in-office (SF-area team) and collaboration weeks 1-3x per year (all employees). We are open to remote workers outside the SF Bay Area who are willing to travel for in-person collaboration up to 20% time. Quarterly team offsites The opportunity to build a critical software platform that accelerates the American healthcare system's transition to value-based care
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Arbital Health by 2x Get notified about new Data Engineer jobs in
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Data Engineer
role at
Arbital Health Join to apply for the
Data Engineer
role at
Arbital Health At Arbital Health, we are transforming the US healthcare system by accelerating the shift from fee-for-service agreements to value-based care agreements. We do this by building a neutral, third-party platform that allows our customers to design, measure, and adjudicate value-based care agreements that maximize resources and help patients get the care they need to thrive. We are looking for highly talented and highly motivated individuals. You will be a roll-up-your-sleeves builder eager to innovate and collaborate to change healthcare.
Across all roles, we look for people who embody our values of impact, innovation, collaboration, velocity, and transparency.
We’ve built the initial production data pipelines that ingest, enrich, aggregate, and summarize healthcare financial data so it can be easily visualized in our web app by our customers. In addition to sophisticated financial calculations, this code matches patients against a benchmark population so that our clients can understand how their patients are doing in comparison to similar individuals. We're looking for an ambitious data scientist or data engineer to help us enhance and scale this core part of our platform.
Is this role right for you?
About
If you are excited about building a new healthcare data and analytics platform to support Value Based Care ( VBC) that will help reduce the cost of healthcare in the US and the following matches your skills, experience, and interests:
Programming in Python ( R is a plus) Development and deployment of a data intensive product on a SaaS platform Statistical or financial calculations, preferably with healthcare data
Responsibilities
Help build Arbital's highly scalable data pipelines and warehouses using platforms like AWS and Databricks Automate and maintain data workflows for enrichment, aggregation, and quality assurance Ensure data accuracy, integrity, privacy, security, and compliance through automated quality control procedures Work on a team with full-stack engineers and actuarial coders to implement end-to-end solutions for contract adjudication Implement and scale actuarially sound healthcare financial calculations Collaborate with actuarial science and delivery teams that primarily work in R and Excel Partner with data scientists to deploy machine learning models in production Contribute to the design, implementation, and overall development of our products Drive innovation and deliver valuable features for our customers
Requirements
Experience in data-intensive, SaaS platform development projects Demonstrated ability to scale new platforms into enterprise products Demonstrated history of being able to quickly understand complex modeling workflows and the big picture driving the need for them Ability to ship extremely high-caliber code and build exceptional products High level of attention to detail Ability to perform under minimal supervision with accountability for specific objectives and work in a rapidly changing, ambiguous start-up environment Passionate about improving and innovating Our team works hybrid from the San Francisco Bay Area. We will prioritize candidates who can work two days per week from our San Francisco office. We will also consider highly qualified remote candidates who can travel to San Francisco for in-person collaboration several days per month.
Nice To Have's
Startup experience is highly preferred Product development coding in R Extensive experience with Airflow, Databricks, Python, and AWS or GCP Tools we use include Infrastructure: AWS, GCP, Databricks, Airflow, Sigma, Datadog Core Tools: Python, R, SQL, Next.js , React, TypeScript, Tailwind CSS IDE: Cursor, VS Code, and R Studio Version Control: GitHub Team Planning: Jira, Confluence, Figma
The target salary range for this role is between $150,000-$160,000 +/- depending upon experience
Why Join Us?
We are assembling a team of creative, talented visionaries seeking to build a new technology that will change healthcare. You will be able to learn, build, and scale our team and technology in a collaborative, creative culture that values every team member.
We Offer
Generous equity grants of ISO stock options We offer an exceptional benefits package with high employer-paid contributions for health, dental, and vision insurance 4% 401(k) match Flexible PTO, a weeklong winter shutdown, and 10 holidays each year Flexible hybrid work blending 1-2x week in-office (SF-area team) and collaboration weeks 1-3x per year (all employees). We are open to remote workers outside the SF Bay Area who are willing to travel for in-person collaboration up to 20% time. Quarterly team offsites The opportunity to build a critical software platform that accelerates the American healthcare system's transition to value-based care
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Arbital Health by 2x Get notified about new Data Engineer jobs in
San Francisco Bay Area . United States $170,000.00-$720,000.00 2 weeks ago San Francisco, CA $182,000.00-$232,000.00 2 weeks ago San Francisco, CA $150,000.00-$190,000.00 6 days ago San Jose, CA $113,400.00-$206,300.00 1 week ago San Francisco, CA $126,100.00-$186,800.00 5 days ago Foster City, CA $192,000.00-$260,000.00 2 weeks ago San Francisco, CA $160,000.00-$180,000.00 3 days ago San Francisco, CA $114,000.00-$171,000.00 2 weeks ago Software Engineer, AI Platform - New Grad
Fremont, CA $114,000.00-$171,000.00 2 weeks ago San Mateo, CA $120,000.00-$160,000.00 3 days ago San Francisco, CA $94,400.00-$118,000.00 1 day ago Menlo Park, CA $114,000.00-$171,000.00 2 weeks ago Sunnyvale, CA $114,000.00-$171,000.00 2 weeks ago Sunnyvale, CA $141,000.00-$202,000.00 2 weeks ago Sunnyvale, CA $101,000.00-$149,000.00 2 days ago San Jose, CA $194,000.00-$410,000.00 1 week ago United States $145,000.00-$204,000.00 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr