Senior Software Engineer, Data & AI Platform

Omada Health

6d•$171,600 - $224,300•Remote

About The Position

Omada Health is 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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.