Senior Software Engineer, Data

Company: Arya Health

Location: New York, NY

Salary: $160,000 - $230,000 a year

Type: Full-time

Posted: 2026-04-30

About this role

### About the Role

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.

### What You'll Do

  • Architect, build, and maintain ETL/ELT pipelines using Airbyte, Dagster, or similar frameworks.
  • Integrate with REST, GraphQL, 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, DevOps, 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.

### What We’re Looking For

  • 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) a strong plus.
  • Clear communication skills and a collaborative mindset.

### Nice to Have

  • Experience with streaming data systems (Kafka, Pub/Sub).
  • Exposure to data governance or compliance in regulated industries.
  • Contribut...

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