Senior Data Engineer

Camber builds software to improve the quality and accessibility of healthcare. We streamline and replace manual work so clinicians can focus on what they do best: providing great care. For more details on our thesis, check out our write-up: What is Camber?

We’ve raised $50M in funding from phenomenal supporters at a16z, Craft Ventures, YCombinator, Manresa, and many others who are committed to improving the accessibility of care. For more information, take a look at: Announcing Camber

Our mission to change behavioral health starts with us and how we operate. We don’t want to just change behavioral health, we want to change the way startups operate. Here are a few tactical examples:

1) Improving accessibility and quality of healthcare is something we live and breathe. Everyone on Camber’s team cares deeply about helping clinicians and patients.

2) We have to have a sense of humor. Healthcare is so broken, it's depressing if you don't laugh with us.

At Camber, we’re building systems that actually work for clinicians—because healthcare deserves better software. As a Senior 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, both 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 be a thought partner as we grow the team.

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  Design and build a platform that is reliable, observable, and scalable.

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  Drive the strategy behind our data architecture and tooling.

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  Collaborate across the company with product, reporting, and platform teams to deliver the right data at the right time.

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  Level up the organization by mentoring other engineers, establishing best practices, and contributing to a high-trust culture.

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  Deliver incremental improvements, especially when things feel ambiguous or messy

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  Stay adaptable and flexible. We’re a startup, and that means things change fast!

• Experience: 6+ 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.

• Proficiency in Python, SQL, and infrastructure-as-code (Terraform preferred).

• Prior experience working in a regulated environment (e.g., healthcare, finance).