Software Engineer - Data Platform (R37)

Posted Yesterday
Hiring Remotely in USA
Remote
105K-300K Annually
Senior level
Fintech • Healthtech • Analytics
The Role
Build and operate scalable data pipelines, backend services, APIs, and infrastructure powering AI-driven healthcare applications. Design distributed data systems, ETL workflows, streaming platforms, and cloud-native architectures while partnering with AI, machine learning, and product teams. Own production reliability, observability, security, automation, and on-call support for business-critical systems.
Summary Generated by Built In

At R1, we’re transforming how healthcare works by combining nearly two decades of revenue cycle expertise with advanced technology, including analytics, AI, intelligent automation and workflow orchestration. We pair that technology with the irreplaceable expertise of our people to help hospitals, health systems and medical groups improve financial performance, simplify administrative complexity and create better experiences for patients and providers.


All Together Better defines our culture and the way we work. We’re a diverse, global team united by a shared mission to make healthcare work better for all. Across technology, operations and support functions, our people bring deep expertise, empathy and ingenuity to the work we do. Here, collaboration fuels progress, adaptability sparks innovation and every voice can help shape what’s next for R1 and the future of healthcare.


About R37

R37 is R1’s AI innovation lab, building technology to transform healthcare.  


Our flagship platform, Phare OS, uses AI and automation to improve critical pre-bill workflows, including authorization, utilization management, documentation and coding. By identifying and resolving issues before claims are submitted, Phare OS helps prevent denials, improve reimbursement and move revenue cycle work upstream.  


What makes R37 different is the opportunity to build advanced AI at real-world scale. R1 works across 95 of the top 100 U.S. health systems, giving R37 access to the data, workflows and reach needed to make an immediate impact:    

  • 180M+ claims  
  • 550M+ patient encounters  
  • 1.2B+ workflow actions and outcomes annually  

  

This is startup-level ownership with enterprise-level impact. You’ll build technology that moves from idea to real healthcare environments, solving complex problems at scale and changing how healthcare works. 

  

As our Software Engineer - Data Platform, you will help build the data foundation of PhareOS Stack including the backend schemas, and APIs that power both our AI engine and user-facing applications. Every day you will work on reliable systems for ingesting, transforming, and serving large-scale healthcare data, ensuring high performance, observability, and security/compliance. 


To thrive in this role, you must have deep expertise in distributed data systems, enjoy solving complex engineering challenges, and be passionate about building resilient infrastructure that powers both machine learning and software products. 

  

Here's what you will experience working as a Software Engineer – Data Platform: 

  • Designing and operating large-scale data pipelines, backend services, and APIs that support AI-powered healthcare applications. 
  • Building highly scalable data infrastructure using modern data engineering technologies, streaming platforms, and cloud-native architectures. 
  • Partnering closely with AI, machine learning, and product teams to deliver reliable data foundations for both internal models and customer-facing products. 
  • Driving observability, reliability, and operational excellence through monitoring, automation, and proactive system management. 
  • Taking ownership of critical production systems, influencing architecture decisions, and helping shape the future of our data platform. 

  

Required Skills: 

  • 5+ years of software engineering experience, including at least 2+ years working with high-throughput data pipelines and distributed data systems. 
  • Strong proficiency in Scala and SQL, with experience designing and operating production-grade data platforms. 
  • Experience building microservices, APIs, and ETL pipelines using Python, Java, or Go. 
  • Hands-on experience with Databricks, Apache Spark, Airflow, Kafka, or similar data orchestration and streaming technologies. 
  • Experience designing API integrations and distributed systems that interact with external partners and enterprise applications. 
  • Experience with infrastructure and containerization technologies such as Terraform, Docker, and Kubernetes. 
  • Experience operating business-critical systems and participating in on-call support rotations. 
  • Healthcare or RCM experience

 

We prefer this role to sit at our Austin, TX hub. 
 
Role Leveling 

We are looking for candidates at various levels, ranging from Level 2 to Staff 

  • L2: Independently delivers a complete end-to-end project, owning design, implementation, and delivery of scoped work (Compensation Range for L2: $120k - $150k) 
  • L3: Leads delivery of larger projects, handling increased technical complexity and ambiguity, providing light guidance to L2s on shared work (Compensation Range for L3: $140k - $220k) 
  • Senior: Team Lead responsible for managing a portfolio of projects that contribute to major technical initiatives. (Compensation Range for Senior: $140k - $255k) 
  • Staff: Impact at the organizational level. Responsible for leading multiple teams or multiple broad initiatives simultaneously, ensuring that high-level technical goals are met across the entire organization. (Compensation Range for Staff: $140k - $300k) 

Benefits 

  • Top-of-market compensation, including bonus that starts at 10% 
  • Flexible PTO 
  • Comprehensive health benefits 
  • 401(k) matching 
  • Inspiring, brilliant, mission-driven teammates 
For this US-based position, the base pay range is $105,000.00 - $202,500.00 per year . Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.This job is eligible to participate in our annual bonus plan at a target of 10.00%

The healthcare system is always evolving — and it’s up to us to use our shared expertise to find new solutions that can keep up. On our growing team you’ll find the opportunity to constantly learn, collaborate across groups and explore new paths for your career.


Our associates are given the chance to contribute, think boldly and create meaningful work that makes a difference in the communities we serve around the world. We go beyond expectations in everything we do. Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team — including offering a competitive benefits package.

R1 RCM Inc. (“the Company”) is dedicated to the fundamentals of equal employment opportunity. The Company’s employment practices , including those regarding recruitment, hiring, assignment, promotion, compensation, benefits, training, discipline, and termination shall not be based on any person’s age, color, national origin, citizenship status, physical or mental disability, medical condition, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status or any other characteristic protected by federal, state or local law. Furthermore, the Company is dedicated to providing a workplace free from harassment based on any of the foregoing protected categories.

If you have a disability and require a reasonable accommodation to complete any part of the job application process, please contact us at 312-496-7709 for assistance.

CA PRIVACY NOTICE: California resident job applicants can learn more about their privacy rights California Consent

To learn more, visit: R1RCM.com

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Skills Required

  • 5+ years of software engineering experience
  • 2+ years working with high-throughput data pipelines and distributed data systems
  • Strong proficiency in Scala and SQL
  • Experience designing and operating production-grade data platforms
  • Experience building microservices, APIs, and ETL pipelines using Python, Java, or Go
  • Hands-on experience with Databricks, Apache Spark, Airflow, Kafka, or similar data orchestration and streaming technologies
  • Experience designing API integrations and distributed systems interacting with external partners and enterprise applications
  • Experience with Terraform, Docker, Kubernetes, or similar infrastructure and containerization technologies
  • Experience operating business-critical systems and participating in on-call support rotations

R1 RCM Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about R1 RCM and has not been reviewed or approved by R1 RCM.

  • Leave & Time Off Breadth — Flexible or unlimited PTO, paid holidays/vacation, and paid volunteer time are highlighted, supporting work-life balance in many roles. Time-off usability is described as workable in many teams, especially in exempt roles.
  • Flexible Benefits — Remote work options and flexible schedules are available for many positions, offering convenience and adaptability depending on role and location. Work-from-home eligibility varies by position but is called out as a valued option.
  • Career-Linked Recognition & Rewards — Recognition programs such as R1 Stars are implemented to boost engagement and morale. Feedback suggests these programs help reduce turnover and provide acknowledgment beyond base pay.

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The Company
HQ: Murray, UT
10,001 Employees
Year Founded: 2003

What We Do

R1 is a leading provider of technology-driven solutions that transform the patient experience and financial performance of healthcare providers R1’s proven and scalable operating models seamlessly complement a healthcare organization’s infrastructure, quickly driving sustainable improvements to net patient revenue and cash flows while reducing operating costs and enhancing the patient experience.

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