← Back to results

Senior Data Engineer

Join Camber as a Senior Data Engineer to build reliable data systems that enhance healthcare accessibility and quality.

Location
New York, NY
Compensation
Not disclosed
Level
senior
Type
full time · Hybrid

Posted by employer 7 months ago

First seen on Joblaze 1 month ago

Last verified on the company career page 16 hours ago

Apply at Camber → Save job Scanned from camber.health

Requirements

Experience
6+ years

Not disclosed in this posting: compensation, visa sponsorship.

Benefits

401k Match Fitness Stipend Flexible PTO Remote Work Health Insurance Mental Health Support Parental Leave

Joblaze summary

In the role of Senior Data Engineer at Camber, the individual will focus on designing and building robust data infrastructure and pipelines that support the company's mission to enhance healthcare software. Key skills include extensive experience with AWS and open-source data tools, as well as a strong ability to mentor and communicate effectively across teams. This position is ideal for someone with over six years of experience in data engineering or related fields, particularly those who thrive in a fast-paced startup environment. Camber emphasizes a collaborative culture, aiming to improve both healthcare and the startup experience.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Camber's careers page October 29, 2026.
  • Python appears in 76.6% of 218 comparable senior data engineering roles in United States; Iceberg appears in 1.4% of 218 comparable senior data engineering roles in United States.

Quick facts

Is the Senior Data Engineer role remote?
It's hybrid — Camber expects some on-site time in New York, NY.
How much experience is required?
At least 6 years of relevant experience for this Senior Data Engineer role.
Where is the role based?
Camber is hiring for this position in New York, NY.
What's the tech stack?
Joblaze extracted these technologies from the posting: AWS, Iceberg, Kafka, Python, SQL, Spark.
What seniority level is this role?
Camber targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Data Engineer role at Camber.

From the original posting

About the role:

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.

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: 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.

Nice to have:

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

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

Perks & Benefits at Camber:

  • Comprehensive Health Coverage: Medical, dental, and vision plans with nationwide coverage, including 24/7 virtual urgent care.

Standard company text repeated across Camber's postings is omitted here.

Similar positions

Sprinter Health
Analytics Engineer (Senior)
Sprinter Health · San Francisco, CA
Bayesian Health
Software Engineer, Data Integration
Bayesian Health · Remote - US Only
Doctronic
Senior Data Engineer
Doctronic · New York City
Sprinter Health
Product Engineering Team - Software Engineer (Senior)
Sprinter Health · San Francisco, CA