We’re on a mission to make behavioral health more available and accessible. We're backed by YCombinator, Craft, Zigg, and many others to make this dream a reality.

At Camber, we build software for behavioral health clinicians to improve quality of care. We streamline and replace manual efforts so clinicians can focus on what they do best: providing high-quality care.

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Behavioral health is broken. We think this is a problem worth solving, and we think we know how to solve it. Interested? Check out https://jobs.lever.co/juniperplatform.

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We’re deeply rooted in the intersection of healthcare and technology — the founders were previously healthcare consultants (at McKinsey) and all have technical backgrounds.

The engineering team brings a breadth of experience (AWS, Bloomberg, Palantir, Headway). Our head of engineering previously led a team of 10 at AWS and is invested in building a first-class team of engineers with a focus on developing a diverse, inclusive, and supportive culture.

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We started Camber because we care about impact — the lack of supply for behavioral healthcare means those who need it most cannot access it. We see this as a once in a lifetime opportunity to fix a broken industry, and why we want you on this journey with us.

About the role:

At Camber, we’re building systems that actually work for clinicians—because healthcare deserves better software. As a Staff Data Engineer, you’ll be hands-on with the backbone of that system: the infrastructure and pipelines that keep everything flowing smoothly, scalably, and reliably.

This role isn’t just about writing great code (though that’s part of it). It’s about helping us make smart decisions as we scale—technically and strategically. You’ll partner closely with other engineers, analysts, and product teams to build data systems we can trust, evolve, and understand. You’ll also be a mentor and thought partner as we grow the team.

What you'll do:

• Design and build a platform that is reliable, observable, and scalable.
• Drive the strategy behind our data architecture and tooling.
• Collaborate across the company with product, reporting, and platform teams to deliver the right data at the right time.
• Level up the organization by mentoring other engineers, establishing best practices, and contributing to a high-trust culture.
• Deliver incremental improvements, especially when things feel ambiguous or messy
• Stay adaptable and flexible. We’re a startup, and that means things change fast!

What we're looking for:

• Experience: 8+ years of experience in data engineering or adjacent backend roles
• Relevant background: Proven success building and scaling data pipelines, platform, and infrastructure
• Technical expertise: Deep knowledge of AWS and open-source data tools (e.g. Spark, Iceberg, Kafka, dbt, etc.)
• Comfortable balancing speed and quality: You know when to build a prototype and when to build for scale
• Excellent communication: You can drive communication and prioritization with other internal teams to determine their data tooling needs.
• Technical mentorship: You can help set the vision, explain technical decisions clearly, and bring others along.

Nice to have:

• Proficiency in Python, SQL, and infrastructure-as-code (Terraform preferred).
• Prior experience working in a regulated environment (e.g., healthcare, finance).

Languages & Frameworks

• Backend: FastAPI (Python)
• Frontend: React

Overview

• We’re building out a behavioral health operating system from the ground up. There’s so much in repetitive healthcare that can be improved and automated.
• We’re focused on implementing the right building blocks (ask us about insurance change detection and patient payments), and using these blocks to continually build out more complex products (patient experience, scheduling, and revenue cycle management). At our current scale, we already handle tens of thousands of patient’s data — there are a lot of technical and product trade-offs to be made, and designing the “right” interfaces and is paramount. Oh, and scaling it to capture a $300B market should be a fun challenge!