Job Application for Staff Data Engineer at Cohere Health

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Opportunity Overview:

We are seeking a Staff Engineer to help define and drive the technical vision of our Data Platform team as we scale our infrastructure, services, and architecture. This role is ideal for someone who blends deep technical expertise with strategic thinking and cross-functional influence.

As a Staff Engineer, you will lead platform-wide design decisions, shape technical standards, and guide squads through complex engineering challenges. You’ll partner closely with other data and analytics engineers, architects, product leaders, and business stakeholders to evolve our data infrastructure in support of high-trust, scalable, and business-aligned outcomes.

You will also serve as a technical mentor and force multiplier across teams; raising the bar for data engineering excellence and accelerating the maturity of our data platform capabilities.

What you’ll do:

Define and drive architectural strategy and technical design across squads, ensuring scalability, reliability, and alignment with business needs
Own the long-term technical roadmap for the Data Platform, balancing immediate needs with future-proofing for growth
Serve as a trusted advisor and design authority, guiding critical decisions on data storage formats, processing frameworks, and platform-wide capabilities
Drive cross-squad initiatives such as observability frameworks, data contract enforcement, or schema governance
Continuously evaluate and improve platform reliability, maintainability, and cost-efficiency; reducing manual effort through automation, observability, and scalable design patterns
Champion a high standard of engineering rigor – through documentation, testing, operational readiness, and incident prevention
Mentor and coach engineers across squads, providing deep technical guidance, architecture support, and career development
Evaluate emerging technologies and tools to enhance performance, security, developer experience, and total cost of ownership
Partner with stakeholders across analytics, clinical, product, and operations to ensure the platform meets evolving business needs
Design self-service tooling and frameworks to enable operational, analytics, and engineering teams to efficiently access, explore, and use governed data assets
Actively participate in planning, roadmap alignment, and backlog refinement—ensuring technical work aligns with business priorities and unlocks cross-functional velocity
Define and track KPIs to evaluate platform reliability, performance, and engineering efficiency
Participate in on-call rotations and support continuous improvement of platform reliability, resilience, and recovery mechanisms

What you’ll need:

8+ years of experience in data engineering, with demonstrated progression to technically complex and high-impact work
Proven expertise in designing and operating large-scale data infrastructure in cloud-based, distributed environments (e.g., AWS, EMR, Glue, Kafka, Iceberg, dbt)
Fluency in modern data architecture patterns, including medallion/lakehouse models, schema evolution, streaming ingestion, and batch orchestration
Deep understanding of observability, CI/CD, version control, and incident management principles in a data engineering context
Experience shaping engineering standards, frameworks, or libraries used across multiple teams
Exceptional ability to communicate technical strategy to both technical and non-technical audiences
Track record of mentorship and technical leadership across engineering teams
Experience working with healthcare data (e.g., claims, EMR) is a plus
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline

Pay & Perks:

💻 Fully remote opportunity with about 5% travel

🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program

📈 401K retirement plan with company match; flexible spending and health savings account

🏝️ Up to 184 hours (23 days) of PTO per year + company holidays

👶 Up to 14 weeks of paid parental leave

🐶 Pet insurance 

The salary range for this position is $170,000 to $185,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.

Interview Process*:

Connect with Talent Acquisition for a Preliminary Phone Screening
Meet your Hiring Manager!
Live System Design Exercise
Technical Discussion
Cross Functional Collaboration Interview

*Subject to change

About Cohere Health:

Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using cutting-edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health plans covering over 15 million lives, while our revenues and company size have quadrupled. That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work; Top 5 LinkedIn™ Startup; TripleTree iAward; multiple KLAS Research Points of Light awards, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement:

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.

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Staff Data Engineer

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