Senior Software Engineer, Data & AI Platform
Join Omada Health as a Senior Software Engineer to design and scale a modern data platform using cloud-native technologies and AI-driven solutions.
Posted by employer 3 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Leverage Generative AI to enhance data discovery, governance, developer productivity, and self-service access to trusted data.
Requirements
- Experience
- 5+ years
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Software Engineer at Omada Health, the individual will focus on designing and building scalable data and AI platform capabilities that enhance analytics and decision-making processes. Key skills include proficiency in Python, SQL, and modern data architectures, along with experience in cloud-native technologies like Spark and Kubernetes. This position is ideal for seasoned engineers with a strong background in data platforms and a collaborative mindset, particularly those who thrive in fast-paced environments. Omada Health emphasizes innovation and teamwork, aiming to transform healthcare delivery through advanced technology.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Omada Health's careers page October 27, 2026.
- Salary band is below the typical range for Data Engineering roles (median ~$180,656).
- Starts above 22% of 163 comparable senior data engineering roles that list Python we track (median $180,656 across 45 companies). See Python salary trends
- Python appears in 72.8% of 389 comparable senior data engineering roles; MLflow appears in 3.3% of 389 comparable senior data engineering roles.
Quick facts
- Is the Senior Software Engineer, Data & AI Platform role remote?
- Yes — Omada Health lists this as a fully remote position.
- What's the salary range?
- Omada Health lists $156,000–$224,300 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Senior Software Engineer, Data & AI Platform role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Databricks, Delta Lake, Kubernetes, MLflow, Python, SQL.
- What seniority level is this role?
- Omada Health targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Software Engineer, Data & AI Platform role at Omada Health.
From the original posting
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
Zone 1: $179,400 - $224,300
Zone 2: $171,600 - $214,500
Zone 3: $156,000 - $195,000
Standard company text repeated across Omada Health's postings is omitted here.