Senior Software Engineer, Data & AI Platform

🕒 il y a 22 jours

🏄 California, New York, +1 états de plus – Distant

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

💵 $179 400 - $224 300 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

🦅 Parrain de Visa H1B

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Omada Health

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2011

🏥 Santé

⚕️ Assurance santé

🧘 Bien-être

💰 €192 000 000 Series E en 2022-02

Healthcare • Healthcare Insurance • Wellness

Omada Health est une entreprise de soins virtuels axée sur l'aide aux individus pour atteindre leurs objectifs de santé grâce à un accompagnement personnalisé et à des programmes sur mesure. La société offre des solutions complètes de gestion de la santé pour des conditions comme le diabète, l'hypertension et la santé musculo-squelettique. Omada propose un coaching santé individuel et des dispositifs intelligents pour surveiller et améliorer la santé, créant ainsi des plans de soins personnalisés pour ses utilisateurs. Ses programmes sont conçus pour être accessibles sans frais pour les participants lorsqu'ils sont couverts par leur employeur ou leur assurance santé, faisant d'Omada un leader dans la fourniture de soins virtuels de qualité, tant personnels que durables.

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

🎯 Exigences

• 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

🏖️ Avantages

• 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!