Omada is a virtual care solution with personalized chronic disease management programs designed to adapt to every member. Check your eligibility today! Backed by NEA, Norwest and a16z.
About the role
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.
What they're looking for
- 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 architectures, including data lakes, lakehouses, warehouses, analytical datastores, and batch or real-time processing systems
- Strong programming skills in Python and SQL, with experience building production-grade data systems
- Working knowledge of distributed computing and cloud-native technologies such as Spark, Kubernetes etc
- Hands-on experience with Infrastructure as Code using Terraform (or a similar tool such as Pulumi, CloudFormation/CDK) to provision and manage cloud infrastructure
- Experience applying data engineering best practices around data quality, lineage, governance, reliability, observability, and operational excellence
More about this role
Omada Health is on a mission to bend the curve of chronic disease.
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.
- 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...
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