Omada Health

Senior Software Engineer, Data & AI Platform

Remote, US$156,000-$224,300Posted 2 months ago

Job Description

Omada Health is on a mission to bend the curve of chronic disease.

Job overview

We are seeking a Senior Software Engineer to help design, build, and scale modern data platform capabilities using cloud-native technologies and AI-driven solutions.

In this role, you will develop reusable frameworks, platform services, and engineering patterns that enable teams to build reliable, scalable data-products and AI-powered workflows. You will also leverage Generative AI to enhance data discovery, governance, developer productivity, and self-service access to trusted data. Working closely with cross-functional teams, you will help shape a modern data platform that accelerates innovation while ensuring security, reliability, and operational excellence.

Your Impact

  • Design, build, and operate scalable Data & AI platform capabilities for analytics, data science, and Generative AI use cases with strong practices around data quality, lineage, observability, security, and governance.
  • Develop reusable abstractions, templates, services, and workflows that standardize how teams build and manage data pipelines and data products.
  • Partner with Analytics, Applied-AI, Data-engineering and application teams to deliver platform capabilities that support business and clinical decision-making
  • Evaluate and integrate modern data and AI technologies with a focus on scalability, reliability, developer experience, and cost efficiency
  • Apply Generative AI technologies to improve data enablement, documentation, discovery, workflow automation, and platform usability
  • Promote software engineering best practices, including clean code, automated testing, CI/CD, infrastructure-as-code, monitoring, and secure data handling

About you

  • 5+ years of professional software engineering or data engineering experience building scalable data platforms, services, pipelines, or analytics infrastructure
  • Hands-on experience with modern data architectu

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