Senior Software Engineer, Data Engineering
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 data engineering role focused on designing and maintaining scalable data pipelines, ETL processes, and data models that support analytics, business intelligence, and machine learning workloads. The work spans data architecture, integration of diverse sources, performance tuning, and data quality governance. Best suited to an experienced engineer comfortable with Python, SQL, Airflow, and cloud-based data warehousing who can also mentor teammates and lead cross-functional technical projects.
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 1,050 people nationally plausibly meet what this posting asks for (database architects). range 300–1,550
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 (10)
SOC classification is Medium confidence: the role is a genuine hybrid between data/pipeline architecture (15-1243) and software development (15-1252). The emphasis on designing data models, ETL frameworks, and data architecture tips it toward 15-1243, but the software engineering mindset, code quality, and distributed computing contributions are strong 15-1252 signals.
The 3-year Airflow requirement is stated as '3+ years of experience as a data engineer developing or maintaining integration with software such as Airflow or any Python-based data pipeline codebase' — the years attach to the broader Python/pipeline role, but Airflow is the named preferred tool; the years demanded is set on Airflow accordingly.
The 5-year total experience requirement ('5+ years of experience building, maintaining, and orchestrating scalable data pipelines') is captured as the overall years minimum.
Compensation figures shown are for California, New York, and Washington ($179,400–$224,300). Colorado figures ($171,600–$214,500) are lower; other states may vary. The higher range is used here as the primary figure.
Bachelor's degree is listed as 'preferred' in the Education section, so the degree requirement is set to None.
Technologies listed under 'Technologies we use' (Ruby on Rails, Athena, Appflow, S3, SNS, SQS, Serverless, Bugsnag, Cursor, etc.) are stack context, not candidate gates; only those also appearing in the requirements sections are marked required.
NoSQL databases and Generative AI tools appear under 'Bonus Points for' and are preferred accordingly.
Data modeling tools (ER/Studio, ERwin) and the 3NF technique appear in the Technical Skills section but are named as examples ('e.g.'); the underlying data modeling capability is the hard gate, captured as a single 'data modeling' skill.
PHI/PII experience is listed in the requirements section under 'Experience working with sensitive data i.e. PHI / PII & security best practices' and is treated as a hard gate.
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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