Senior Software Engineer

About Stellar Health

Historically, US Healthcare has relied on a fee-for-service reimbursement system where providers are paid based on the quantity of patient visits and procedures, rather than the quality of health outcomes.

At Stellar Health, we help primary care providers put patient health first. Our platform - a mix of technology, people, and analytics - supports providers at the point of care, delivering real-time patient information, activating practice staff, and empowering providers and care teams with incentives that reward the work they are already doing to keep patients healthy. Using the Stellar App, our web-based, point-of-care tool;

practices receive a simple checklist of recommended actions that support the best quality care. Providers and care teams are then paid monthly for each action they complete, and Payors save money in reduced healthcare costs along the way.

Stellar is a US-based Health-tech backed by Top VCs (General Atlantic, Point
72, Primary Venture Partners) with an established product and proven operating model. We’ve shown that we make a real difference for physician practices and their patients.

As a Senior Software Engineer - 1, you will build and maintain core parts of our data and application platform. Our team offers an experienced and mature engineering culture and an environment where every single engineer has a direct impact on the success of our business.

The Platform team’s mission is to provide Stellar with cutting-edge, reliable, and easy-to-use infrastructure for ingesting, storing, processing, and extracting valuable insights from data in order to enable downstream users to be successful. The team is tight-knit with high ownership, and your work will have a meaningful impact on our ability to directly improve patient access to health care.

The Platform handles external integrations, data ingestion, normalization and transformation. In partnership with our technical implementation and analytics teams, it also owns data quality, performance measurement and enables advanced analytics and data science applications.

On this team, you’ll build and manage ETLs and the infrastructure that makes them easily configurable and more automated. You’ll orchestrate complex workflows that process billions of claims for millions of patients, and you’ll create foundational data models that allow our analytics partners to build quickly and safely on top of robust, correct data.

Key highlights and technical challenges of this team:

• Handle data from 10M+ patients being ingested on a regular cadence, in a fully automated way.
• Build and maintain tooling that supports over 60 integrations
  , including batch processing and event based processing, doubling every year.
• Maintain a high degree of data safety and quality
  .
• Continue to lower costs, decrease turnaround time and raise quality from data ingestion to data consumption to insight generation.
• Create tools, automation and frameworks to streamline and build reliable data ingestion pipelines
  .
• Work on systems that generate new patient recommendations based on their health claims data, and build intuitive workflows that help clinicians focus on high impact interventions.

• Build best-in-class services and infrastructure for our platform teams.
• Ensure our users are presented with timely and accurate information that helps them do their job.
• Evolve the architecture to improve operational efficiency and support business growth.
• Actively contribute to Stellar’s Engineering Culture and ensure engineers are writing clear and concise production code for the Stellar Health Platform.
• Provide effective and constructive feedback by reviewing others’ work.
• Set consistent standards via code and design reviews, as well as your own technical contributions.
• Create and maintain optimal data pipeline architecture, including but not limited to data ingestion, consumption, and export.
• Build a high quality platform which is scalable, efficient, and flexible to handle various customer and internal data.
• Work with leaders and key stakeholders to identify bottlenecks for the system and the end-to-end process to improve SLOs, data…