Senior Software Engineer, Data & AI Platform

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 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 Bonus Points for: • 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 Benefits: • Competitive salary with generous annual cash bonus • Equity grants • Employee stock purchasing plan (ESPP) • Remote first work from home culture • Flexible Time Off to help you rest, recharge, and connect with loved ones • Generous parental leave •