Take charge of large-scale data architecture that powers healthcare analytics nationwide. R1 is hiring a Senior Data Engineer to drive innovation through high-performance ETL pipelines and data lake solutions.
About R1
R1 is the leading provider of revenue cycle and healthcare technology solutions, trusted by hospitals and medical groups across the U.S. We combine industry expertise with advanced platforms in analytics, automation, and AI to transform how providers operate and patients receive care.
Schedule
- Full-time
- 100% Remote
- Occasional travel required (<10%)
- In-person interview required in Austin, TX
What You’ll Do
- Lead design and implementation of automated data lake solutions
- Build and optimize complex ETL pipelines using PySpark or Scala
- Orchestrate large-scale data workflows across distributed cloud systems
- Work with SQL and NoSQL databases to manage structured and unstructured data
- Partner with analytics and operations teams to centralize and normalize disparate data sources
- Leverage Databricks and Azure to deliver scalable, reliable infrastructure
What You Need
- 7+ years in software or data engineering
- Deep expertise in PySpark or Scala
- Experience with distributed system architecture and cloud environments (Azure preferred)
- Strong understanding of data pipeline orchestration tools
- Familiarity with Databricks, SQL/NoSQL databases, and healthcare data
- Bachelor’s degree in Computer Science or related field
- Agile development experience
Benefits
- Salary range: $97,211 – $161,881 per year
- Eligible for 10% annual bonus
- Competitive healthcare benefits package
- Work with advanced technology and make a real-world impact on healthcare
- Opportunities for growth in a fast-evolving, mission-driven company
Interviews are in progress—bring your skills to a team improving the way healthcare systems understand and use data.
Let your expertise shape the future of patient care.
Happy Hunting,
~Two Chicks…