Senior Data Engineer

• 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
• 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!

Benefits

• Mental Health: If your mental health provider is out-of-network, we’ll help reimburse up to $100 per treatment week. This is to ensure that you don’t feel compelled to choose lower-cost therapist options that don’t provide the best value to you.
• Dental: Guardian is our dental coverage provider with 100% coverage for preventative services (eg. routine cleanings)
• Health: Aetna is our provider, with nation-wide coverage with free virtual urgent care 24/7
• Vision: We use Guardian for our vision coverage with in network allowance of $150 for frames and exams, lenses, frames and contacts frequency for 12 months
• HSA & FSA: We offer a high-deductible health plan via Aetna, which is HSA compatible. We also offer medical and dependent care FSA options, where you can contribute pre-tax dollars to use on those expenses
• 401K: We offer a flexible 401K plan administered through Human Interest, with options for both traditional and Roth 401K
• Wellness Benefits: We’ll provide a $100 fitness benefit per month for you to spend at your own discretion
• Paid Time Off: You have 18 paid vacation days a year - use it or lose it! Rollover of up to 3 vacation days to the next calendar year
• Office Culture: For folks in NYC, we have a hybrid office culture, where folks come into the office 3-5 times a week - we generally ask that if you’re in the city, that you come in on Mon, Tues, and Thurs. We don’t monitor basge swipes though. If you’re working remotely, traveling, visiting homes, etc. - no problem! Just let your team know. And Fridays, almost everyone works from home
• Commuter Benefits: For folks in NYC, we offer a commuter benefits of $116 per month which can be used for transportation into the office
• Team Lunches: For those based in NY of SF, lunches provided in the office Monday through Thursday
• Team Events: For those based in NY or SF, monthly team get-togethers will provide an opportunity for team-bonding outside of work, with each team event owned and planned by different members on the team
• Book Club: Every month, we have company book club hosted by a different person each time. Topics range from startup theory, neuro-diversity, leadership, creating supportive & inclusive cultures in the entrepreneurship space, and more

Preferred experience

• Relevant background: Proven success building and scaling data pipelines, platform, and infrastructure
• Experience: 6+ years of experience in data engineering or adjacent backend roles
• Comfortable balancing speed and quality: You know when to build a prototype and when to build for scale
• Technical mentorship: You can help set the vision, explain technical decisions clearly, and bring others along
• Technical expertise: Deep knowledge of AWS and open-source data tools (e.g. Spark, Iceberg, Kafka, dbt, etc.)
• Excellent communication: You can drive communication and prioritization with other internal teams to determine their data tooling needs
• Proficiency in Python, SQL, and infrastructure-as-code (Terraform preferred)
• Prior experience working in a regulated environment (e.g., healthcare, finance)