Senior Software Engineer, Data & AI Platform

Omada Health Inc.; United States; Remote; USD 179,000 - 224,000; Full time

Benefits offered by this job

Remote first work from home culture

Equity grants

Employee stock purchasing plan (ESPP)

Health, dental, and vision insurance (

401k retirement savings plan

Flexible Time Off

Parental leave

Job summary

Omada Health is seeking a Senior Software Engineer to design, build, and scale modern data platform capabilities using cloud-native technologies and AI-driven solutions. You will develop reusable frameworks and platform services to enable teams to build reliable data products and AI-powered workflows.

You will collaborate with cross-functional teams to shape a modern data platform that emphasizes security, reliability, and operational excellence, while leveraging Generative AI to enhance data

Qualifications

• 5+ years of professional software engineering or data engineering experience building scalable data platforms, services, pipelines, or analytics infrastructure.
• Experience with modern data architectures (data lakes, lakehouses, warehouses, analytical datastores) and batch/real-time processing.
• Strong programming skills in Python and SQL with production-grade data systems.
• Knowledge of distributed computing and cloud-native technologies (e.g., Spark, Kubernetes).
• Hands-on experience with Infrastructure as Code using Terraform (or similar) to provision cloud infrastructure.
• Experience applying data engineering best practices around data quality, lineage, governance, reliability, observability, and operational excellence.
• Practical experience using Generative AI tools to improve engineering workflows, analytics, or data platform capabilities.
• Strong problem-solving, communication, and collaboration skills across technical and non-technical teams.
• Self-directed, pragmatic, and comfortable working through ambiguity in a fast-moving environment.

Responsibilities

• Design, build, and operate scalable Data & AI platform capabilities for analytics, data science, and Generative AI use cases with data quality, lineage, observability, security, and governance.
• Develop reusable abstractions, templates, services, and workflows to standardize data pipelines and data products.
• Partner with Analytics, Applied-AI, Data-engineering and application teams to deliver platform capabilities for business and clinical decision-making.
• Evaluate and integrate modern data and AI technologies focusing on scalability, reliability, developer experience, and cost efficiency.
• Apply Generative AI 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.

Skills

Python

SQL

Problem-solving

Communication

Collaboration

Tools

Spark

Kubernetes

Terraform

Job description

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
• 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!

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.