omadahealth
Senior Engineering Manager, Data Engineering
At a Glance
- Location
- United States
- Work Regime
- remote
- Experience
- 10+ years
- Compensation
- ate Base Compensation Ranges: $202,400 - $253,000*, Colorado Base Compensation
- Posted
- 2026-07-14T14:29:38-04:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
- Healthcare
Benefits & Perks
Health, dental, and vision insurance (and above market employer contribution
Requirements
10+ years of experience building and operating large-scale data platforms, analytics systems, or software platforms.
5+ years of experience leading Data Engineering teams, with experience managing managers or multiple teams preferred.
Demonstrated success defining technical strategy, driving execution, and delivering complex cross-functional initiatives.
Strong experience partnering with Product, Analytics, Data Science, and executive stakeholders.
Deep experience designing and operating modern cloud-based analytics platforms, including data warehouses, lakehouses, ELT/ETL pipelines, and data processing systems.
Strong understanding of data modeling, analytics architecture, semantic layers, and scalable data product design.
Compensation & Benefits
Competitive salary with generous annual cash bonus
Equity grants
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)
Responsibilities
Our Data Engineering team builds and operates the data platform and curated data products that power analytics, reporting, experimentation, and AI-driven insights across Product, Clinical, Commercial, Finance, and Operations.
Senior Engineering Manager, Data Engineering
to lead our data engineering organization and help shape the future of Omada's enterprise data platform.
As a Senior Engineering Manager, you will lead a team responsible for designing, building, and operating scalable data pipelines that serve as the trusted foundation for business intelligence, machine learning features, product analytics, operational reporting, experimentation, and advanced analytics.
You will partner closely with Data Architects, Product Managers, Analytics, Data Science, Governance, and Software Engineering teams to define the technical strategy, execution roadmap, and operating model for Data Engineering.
This role requires a strong balance of organizational leadership and technical depth.