高级软件工程师, 数据与 AI 平台
Senior Software Engineer, Data & AI Platform
Omada Health 正在致力于改变慢性病的发展曲线。
职位概述:
我们正在寻找一位高级软件工程师,帮助使用云原生技术和AI驱动的解决方案设计、构建和扩展现代数据平台功能。
在此职位中,您将开发可重用的框架、平台服务和工程模式,使团队能够构建可靠、可扩展的数据产品和AI驱动的工作流程。您还将利用生成式AI来增强数据发现、治理、开发人员生产力以及对可信数据的自助访问。与跨职能团队紧密合作,您将帮助打造一个现代化的数据平台,加速创新的同时确保安全、可靠和运营卓越。
您的影响:
- 为分析、数据科学和生成式AI用例设计、构建和运营可扩展的数据与AI平台功能,注重数据质量、血缘关系、可观测性、安全性和治理。
- 开发可重用的抽象、模板、服务和工作流,标准化团队构建和管理数据管道和数据产品的做法。
- 与分析、应用AI、数据工程和应用程序团队合作,交付支持业务和临床决策的平台功能。
- 评估并集成现代数据和AI技术,重点关注可扩展性、可靠性、开发人员体验和成本效率。
- 应用生成式AI技术以提升数据赋能、文档、发现、工作流自动化和平台可用性。
- 推动软件工程最佳实践,包括整洁代码、自动化测试、CI/CD、基础设施即代码、监控和安全的数据处理。
关于您:
- 5年以上专业软件工程或数据工程经验,构建可扩展的数据平台、服务、管道或分析基础设施
- 具有现代数据架构的实际经验,包括数据湖、湖仓一体、数据仓库、分析型数据存储以及批处理或实时处理系统
- 强大的编程能力,精通Python和SQL,有构建生产级数据系统的经验
- 了解分布式计算和云原生技术,如Spark、Kubernetes等
- 熟悉使用Terraform(或类似工具如Pulumi、CloudFormation/CDK)进行基础设施即代码,用于配置和管理云基础设施。
- 有应用数据工程最佳实践的经验
查看英文原文
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
- Health, dental, and vision insurance (and above market employer contributions)
- 401k retirement savings plan
- Lifestyle Spending Account (LSA)
- Mental Health Support Solutions
- ...and more!
It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada!
- Cultivate Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other.
- Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road.
- Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers.
- Deliver Results. We reward impact above output. We set a high bar, we’re not afraid to fail, and we take pride in our work.
- Succeed Together. We prioritize Omada’s progress above team or individual. We have fun as we get stuff done, and we celebrate together.
- Remember Why We’re Here. We push through the challenges of changing health care because we know the destination is worth it.
About Omada Health: Omada Health (Nasdaq: OMDA) is reverse engineering the way healthcare is delivered in America, putting the space between doctor visits–where health is won or lost–at the center of care. Today's healthcare system poorly serves chronic conditions that require ongoing support outside of the exam room, like obesity, diabetes, hypertension, cholesterol, and musculoskeletal conditions. Omada’s virtual-first model combines human-led care teams, connected devices, and AI-enabled technology to deliver personalized care at scale, including support for GLP-1 therapy. Omada has served more than two million members since launch across 2,000+ employers, health plans, pharmacy benefit managers, and health systems. Learn more at omadahealth.com.
Omada is thrilled to share that we’ve been certified as a Great Place to Work! Please click here for more information.
We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Below is a summary of salary ranges, by geographic zone, for this role*. These ranges represent a good faith estimate of the minimum and maximum base salary for the position in that zone at the time of posting. Please refer to this resource for detail on zone designations.
Zone 1: $179,400 - $224,300
Zone 2: $171,600 - $214,500
Zone 3: $156,000 - $195,000
Please note that zones may be updated as market data changes but we will honor the range applicable to your zone (which is determined by your location) as of your application date.
*The actual offer, including the compensation package, will be within the posted range for the relevant zone and will be determined based on multiple factors, such as the candidate's skills and experience, and other business considerations such as internal equity.
Please click here for more information on our Candidate Privacy Notice.