Senior Software Engineer, Data & AI Platform

🔥 0 minutes ago

🏄 California, New York, +1 more states – Remote

🏄 California – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $179.4k - $224.3k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

🦅 H1B Visa Sponsor

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Omada Health

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2011

⚕️ Healthcare Insurance

🧘 Wellness

☁️ SaaS

💰 $192M Series E on 2022-02

Healthcare Insurance • Wellness • SaaS

Omada Health is a virtual care company focused on helping individuals achieve their health goals through personalized support and programs. The company offers comprehensive health management solutions for conditions like diabetes, hypertension, and musculoskeletal health. Omada provides one-on-one health coaching and smart devices to monitor and improve health, creating personalized care plans for its users. Its programs are designed to be accessible at no cost to participants when covered by their employer or health plan, making Omada a leader in delivering quality virtual care that is both personal and sustainable.

📋 Description

• 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

🎯 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

🏖️ Benefits

• Competitive salary with generous annual cash bonus • Equity grants • 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!