Senior Software Engineer, Data & AI Platform

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 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

• 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
• Practical experience using Generative AI tools or technologies to improve engineering workflows, automation, analytics, or data platform capabilities
• Strong problem-solving, communication, and collaboration skills, with the ability to work effectively across technical and non-technical teams
• Self-directed, pragmatic, and comfortable working through ambiguity in a fast-moving environment

• Hands-on experience with Databricks, including Delta Lake, Unity Catalog, Workflows, Delta Live Tables, MLflow, Model Serving.
• Experience with NoSQL datastores, including document databases, graph databases, key-value stores, wide-column stores, or search-oriented systems
• Experience with Generative AI application patterns such as RAG, knowledge-graph, etc.
• Experience working with sensitive data in regulated environments such as healthcare, privacy, fintech, or other compliance-heavy industries