Omada Health
Senior Software Engineer, Data & AI Platform
Remote role where the employee must remain based in a particular country.
United States only
Employer listed it 4 weeks ago · Added yesterday
Been open since 4 weeks ago, still being checked, but it has been live a while.
Salary
$179,400 to $224,300
Location
United States only
Timezone
US East
Contract
Full-time
Experience
Senior
Category
Software
Stated by the employer in the job description
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Remote, USA, Remote"
What Nomaders makes of it
- Residency required in United States
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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
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.
Benefits
- ·Competitive salary with generous annual cash bonus
- ·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
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Omada Health, mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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