Software Engineer – Data Platform

R1 RCM

. Build the data foundation of PhareOS Stack, including backend schemas and APIs powering the AI engine and user-facing applications .

Posted 10/8/2026full-timeRemote • United StatesMid-LevelSenior💰 $60,278 - $140,452 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building scalable data infrastructure and high-throughput data pipelines, with strong proficiency in Scala and SQL. Capable of designing and operating production-grade data platforms while ensuring observability and reliability in AI-powered healthcare applications.

Highest-signal resume keywords

Scala ProficiencySQL ProficiencyData Pipeline DesignMicroservices DevelopmentETL Pipeline Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data EngineeringAPI DesignDistributed SystemsHigh-Throughput Data PipelinesProduction-Grade Data PlatformsMicroservicesETLData OrchestrationStreaming TechnologiesCloud-Native Architectures

Soft Skills

CollaborationProblem-SolvingOperational Excellence

Tools & Technologies

DatabricksApache SparkAirflowKafkaTerraformDockerKubernetes

Industry Keywords

AI-Powered HealthcareData InfrastructureObservabilityAutomationSystem Management

Tech Stack

Tools & technologies

AirflowApacheCloudDistributed SystemsDockerETLJavaKafkaKubernetesMicroservicesPythonScalaSparkSQLTerraformGo

About the role

Key responsibilities & impact

Build the data foundation of PhareOS Stack, including backend schemas and APIs powering the AI engine and user-facing applications
Design and operate large-scale data pipelines, backend services, and APIs for AI-powered healthcare applications
Build scalable data infrastructure using modern data engineering technologies, streaming platforms, and cloud-native architectures
Partner with AI, machine learning, and product teams to deliver reliable data foundations for internal models and customer-facing products
Drive observability, reliability, and operational excellence through monitoring, automation, and proactive system management
Own critical production systems, influence architecture decisions, and help shape the data platform

Requirements

What you’ll need

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
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

Benefits

Comp & perks

Top-of-market compensation, including bonus that starts at 10%
Flexible PTO
Comprehensive health benefits
401(k) matching
Annual bonus plan at a target of 5.00%
Opportunity to constantly learn, collaborate across groups and explore new paths for your career
Competitive benefits package