Senior Data Engineer

Courier Health • New York, NY

13d • $175,000 - $225,000

About The Position

Courier Health is on a mission to solve one of the biggest and most meaningful opportunities in healthcare: reinvent how people living with chronic and rare diseases are supported. We are building the future of patient engagement for life sciences companies. Our software is leveraged by biopharma companies to support patients in their complex journey from diagnosis to initiating and remaining on therapy to achieve optimal health outcomes.

You'll join an early and growing data engineering team that's shaping the foundations of our data platform. We're investing in a modern transformation layer, reliable pipelines, and richer in-product analytics for our clients and you'll have real influence over how that gets built.

You'll be one of the first data engineers on our team. This is hands-on, high-ownership work: building our transformation layer, strengthening our analytics pipelines, and creating the data models that power both internal reporting and the analytics our clients see inside the product.

Requirements

• 6+ years of professional data engineering experience
• Architectural depth: you've designed and evolved analytics data platforms, and reason clearly about when added complexity is worth it versus premature.
• Expert SQL and data modeling: you model data well for analytics and can guide others in doing the same.
• Reliable production pipelines: you've built and operated critical production data pipelines and understand their real-world failure modes.
• Technical leadership: you raise the bar for other engineers through architecture, standards, and mentorship.

Nice To Haves

• life sciences / healthcare data; comfort working in HIPAA-aware, PHI-handling environments is a plus

Responsibilities

• Build and strengthen pipelines: improve the reliability and observability of how data flows into our analytics environment.
• Build the transformation layer: develop dbt models with clean staging/marts layering, turning raw data into trustworthy, well-tested datasets.
• Power analytics: build the data models behind in-product analytics, QBRs, Customer Success reporting, and the dashboards our clients use.
• Own quality: put checks in place so data issues surface before they reach clients.
• Collaborate: work with Product, Client Solutions, and commercial teams to understand what the data needs to support.

Benefits

• 100% paid employee health benefit options (including medical, dental, and vision)
• 401(k) with employer funded match
• Unlimited Vacation
• Commuter Benefits
• Paid parental leave
• Catered lunch on Fridays
• Wellness stipend

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed