Senior Software Engineer, Data & AI Platform
Omada Health
$179,400–$224,300from the description
Jul 14, 2026
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Jul 21, 2026
What this job asks for AI summary
A senior engineering role focused on building and maintaining a cloud-native data and AI platform — covering data pipelines, platform services, reusable frameworks, and infrastructure — to support analytics, data science, and generative AI workloads. The work involves Python and SQL development, infrastructure-as-code, and applying generative AI to areas like data discovery and workflow automation. Suits engineers with substantial experience in scalable data platform or data engineering work.
Senior level · 5+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 740 people nationally plausibly meet what this posting asks for (database architects). range 440–1,350
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The SOC classification is a close call: the role is framed as a 'Senior Software Engineer' building a data platform, with strong data-architecture responsibilities (data lakes, lakehouses, pipelines, governance, lineage) that point to 15-1243 (Database Architects), but the emphasis on writing production-grade code, CI/CD, and reusable services also fits 15-1252 (Software Developers). 15-1243 was chosen as primary because platform architecture and data-product design are the core deliverables.
Compensation figures shown are for California, New York, and Washington ($179,400–$224,300); Colorado range is $171,600–$214,500. The posting notes other states may vary.
Spark and Kubernetes are listed together as examples of 'distributed computing and cloud-native technologies' — Spark is named as the primary skill with Kubernetes as an alternative, though in practice both may be used concurrently. Hiring managers should note these could be treated as separate requirements.
Terraform is listed as the primary IaC tool with Pulumi, CloudFormation, and CDK named as acceptable equivalents.
Databricks (including Delta Lake, Unity Catalog, Workflows, Delta Live Tables, MLflow, Model Serving), NoSQL datastores, Generative AI application patterns (RAG, knowledge-graph), and regulated/healthcare data experience all appear under the 'Bonus Points for' section and are marked as preferred.
This posting reads as a fully-remote role, so it was scored against the national candidate pool rather than a single metro.
Read the full posting
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