Senior Software Engineer

Our mission is simple but ambitious: to use AI to fix the broken economics and lost humanity of care. If you want to move fast and help build the future of healthcare with heart, you belong at Arya.

We’re looking for a Senior Software Engineer focusing on Data to join our team and build the pipelines and systems that power Arya’s workforce platform. You’ll work with modern data and automation tools to design and implement high-performance, scalable integrations between our platform and customer systems. This includes integrating with APIs, file-based systems, and RPA (Robotic Process Automation) workflows to handle scenarios where APIs aren’t available or data is locked in legacy systems.

As a senior member of the engineering team, you’ll lead data projects end-to-end, ensuring our data is accurate, timely, and reliable—driving the experiences our customers depend on.

• Architect, build, and maintain ETL/ELT pipelines using Airbyte, Dagster, or similar frameworks.
• Integrate with REST, Graph
  
  QL, and file-based APIs, as well as RPA workflows.
• Optimize Postgres queries and schemas for performance at scale.
• Implement monitoring and alerting to ensure data quality and availability.
• Collaborate with Product, Dev Ops, and QA to deliver reliable integrations quickly.
• Document integration patterns and help evolve our data platform architecture.
• Provide technical leadership and mentorship to other engineers working on data systems.

• 5+ years of experience in software engineering with a focus on data systems or backend integrations.
• Expert in SQL and proficient with Postgres optimization.
• Hands‑on experience with Airbyte, Dagster, or similar tools.
• Strong programming skills in Node.js or Python.
• Familiarity with CI/CD pipelines and cloud environments (GCP preferred).
• Experience with RPA tools (e.g., UiPath, Automation Anywhere, Blue Prism) is a strong plus.
• Clear communication skills and a collaborative mindset.

• Experience with streaming data systems (Kafka, Pub/Sub).
• Exposure to data governance or compliance in regulated industries.
• Contributions to open-source data or integration tooling.

By Day 15 — Onboarding & Environment Setup

• Fully onboarded into Arya’s development environment and tooling.
• Access to and understanding of existing Airbyte/Dagster pipelines, Postgres schemas, and RPA workflows.
• Shadow a senior team member on one live deployment.
• Ship at least 1 minor bug fix or small improvement to an existing integration.
• Review integration documentation and begin drafting notes on areas for improvement.

By Day 30 — Initial Contributions & Familiarity

• Ship your first net‑new integration (API, file-based, or RPA) into staging or production.
• Implement basic monitoring or alerting improvements for an existing pipeline.
• Partner with Product to map integration requirements for an upcoming customer.
• Deliver a performance analysis on at least one critical data flow and propose optimization.
• Begin contributing to code reviews for data‑related pull requests.

By Day 60 — Ownership of Integration Scope

• Fully own a subset of data integrations from development through monitoring.
• Ship at least 1 high‑impact performance improvement (e.g., reduced latency, improved throughput).
• Deploy an RPA‑based integration into production for a customer with limited API access.
• Document integration processes and edge cases for assigned systems.
• Participate in customer onboarding calls to understand integration pain points.

By Day 90 — Scaling & Strategic Impact

• Design and implement an automation to streamline integration deployment or monitoring.
• Lead a cross‑functional initiative to improve data quality or reduce integration failures by 25%+.
• Propose and implement schema or architecture changes to support future integrations at scale.
• Mentor a junior engineer or new hire on Arya’s data engineering stack.
• Present a “State of Data Systems” review to the engineering team, outlining current health, risks, and opportunities.

OUR VALUES

You will thrive at Arya if you can:

1. Think Like a Customer

We win by making our customers feel like superheroes. This means we must always view…