Staff Software Engineer, Data Products
Omada Health
$202,400–$253,000from the description
Jul 19, 2026
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Jul 21, 2026
What this job asks for AI summary
A senior individual contributor role focused on building and owning the production data platform that underpins machine learning at a digital health company. The work centers on designing reusable feature datasets and batch/streaming pipelines — ingesting clinical, behavioral, and operational data and transforming it into ML-ready foundations for model training, experimentation, and inference. The role suits an experienced data engineer comfortable leading cross-team architecture decisions and mentoring others.
Staff level · 8+ 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 360 people nationally plausibly meet what this posting asks for (database architects). range 210–530
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 (9)
SOC classification is a genuine judgment call: the role is primarily about designing and building ML feature pipelines and a production data platform (data architecture / ETL engineering → 15-1243), but the depth of software engineering expected (Python/Spark/Java/Scala, CI/CD, distributed systems) also fits Software Developers (15-1252). 15-1243 was chosen because the core deliverable is reusable feature datasets and a data platform architecture, not a user-facing application.
Compensation figures shown are for Zone 1 (highest band: $202,400–$253,000/year). The posting also lists Zone 2 ($193,600–$242,000) and Zone 3 ($176,000–$220,000); the actual offer depends on the candidate's location.
Bachelor's degree in Computer Science is listed as 'preferred,' not required, so the degree requirement is set to None.
Databricks and Iceberg are called out as 'a strong plus' in the Technical Skills section; Databricks also appears in the required-experience block ('Experience building production data systems using Databricks, Iceberg, Spark, Redshift, Snowflake, or similar technologies'). Databricks is marked required (as the named representative of that class of platforms) with Snowflake and Redshift as alternatives; Iceberg is kept as preferred since it is specifically flagged as a bonus.
Streaming technologies (Kafka, Flink, Spark Structured Streaming) and NoSQL databases appear under Technical Skills with 'familiarity' or 'experience with' framing and no firm gate language, so they are marked preferred.
Technologies listed under 'Technologies we use' (Ruby on Rails, Appflow, S3, SNS, SQS, Lambda, Serverless, Bugsnag, Cursor) are stack context only and are not emitted as skills.
Healthcare industry experience is explicitly called 'a plus' and is not emitted as a skill (no named technology).
The role is fully remote per the 'Remote first work from home culture' benefit; no specific metro or state is identified.
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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