Octave is a modern online therapy solution creating a new standard for mental health with individual, couples & Family therapy that works with insurance. Backed by Felicis.
About the role
We’re looking for a Sr. Data Engineer with strong data platform experience to help evolve our modern data stack and contribute to the foundation of our emerging AI and ML platform. This role sits at the intersection of data engineering, platform architecture and machine learning enablement and will bring high-quality, scalable, and ethical AI into real-world use.
What they're looking for
- Proficiency in SQL and Python with strong familiarity towards modern data engineering frameworks, infrastructure, and tooling
- Proficiency with data ops best practices, monitoring, pipeline automation, and CI/CD
- Experience with GCP or AWS data engineering tools, big data frameworks
- Experience with data modeling and medallion architecture
- A collaborative mindset, dependable execution, drive to reflect and improve, and humility to ask questions and learn
- Comfort using AI tools in day-to-day workflows, with a willingness to continuously rethink and improve how work gets done
More about this role
Octave is a modern behavioral health practice creating a new standard for care delivery that’s both high-quality and accessible. With in-person and virtual clinics in multiple states, the company offers evidence-based individual, couples, and family therapy, while pioneering relationships with payers to make care more affordable through insurance. By raising the bar on how care is delivered and how providers are supported, we are building a sustainable system that values equity, affordability, and effectiveness.
We’re looking for a Sr. Data Engineer with strong data platform experience to help evolve our modern data stack and contribute to the foundation of our emerging AI and ML platform. This role sits at the intersection of data engineering, platform architecture and machine learning enablement and will bring high-quality, scalable, and ethical AI into real-world use. You will partner closely with data scientists, analysts, and product managers to ensure our platform supports reliable data pipelines, scalable analytics, in addition to defining new architecture, best practices, and patterns for fellow engineers to inherit. The ideal candidate is both a systems thinker and a...
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