Data & Analytics Engineer

Description

The company is building an AI-powered network that connects doctors, pharmacies, payers, and biopharma to accelerate new science to patients.

Our platform automates the complexity between a doctor prescribing a medicine and a patient starting treatment, including insurance coverage, financial assistance, and supply chain navigation. We provide this support free to doctors and patients, helping them get life-changing medicine faster, cheaper, and easier. The resulting network enables biopharma companies to design better research, launch new drugs more effectively, and invest in harder-to-treat conditions.

The company has exceptional product-market fit and is growing rapidly through organic adoption:

Accelerating scale: We already support patients across more than 85% of ZIP codes and partner with 9 of top 15 largest biopharma companies in the world.

AI-native, durable model: Our business becomes stronger as AI improves, as every new doctor, patient, and partner makes the network more valuable.

Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.

If we succeed, science will be the only limit to medicine.

All full-time roles are in person in New York.

About the role

As a Data & Analytics Engineer at the company, you will build the data foundation that powers how we operate, measure, and grow. You will design and maintain our core data models, pipelines, and reporting infrastructure, ensuring the right people have access to clean, trustworthy, decision-grade data. This is a cross-functional, impact-heavy role in which you will work closely with product, ops, growth, and leadership to build the systems that enable better, faster decisions across the company.

You will also help define our data & analytics engineering practices: how we structure metrics, review code, manage pipelines, and build for scale. Your work will directly support everything from product usage visibility to operational performance to life sciences client reporting.

This is a demanding role, with a high level of autonomy and responsibility. You will be expected to "act like an owner" and commit yourself to the company' success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you.

If you join, you will:

Build and maintain the core data models that serve as the foundation for internal analytics and client-facing insights

Design and operate the data pipelines that transform raw sources into clean, analytics-ready tables

Create dashboards and reporting tools that drive performance visibility and decision-making across product, ops, and GTM

Define and enforce metric consistency across teams — including core business KPIs and product usage definitions

Help improve and scale our analytics stack (we use GCP BigQuery and Dataform, Fivetran, Postgres, and dashboarding tools)

Collaborate with stakeholders across teams to understand data needs and translate them into reliable systems

Contribute to internal data culture through documentation, education, and code quality standards

We’re looking for you if you have:

3–6 years of experience in data engineering, analytics engineering, or a technical data analyst role with production ownership

Expert-level SQL and comfort working in a code-first environment (versioning, testing, documentation)

Experience designing data models that balance usability, performance, and long-term maintainability

Familiarity with the modern data stack — dbt, Fivetran, Airflow, GCP/AWS/Snowflake, Metabase (or equivalents)

Strong written and verbal communication that allows you to be an effective participant in both internal debates and external relationships

Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals

High NPS with your former teammates

This is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.

Working with us

The company is based in New York, with our full team working out of a beautiful and spacious office in SoHo.

We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:

Do the math. Be rigorous, assume nothing. Break problems down and reason from the ground up. Stay open to changing your mind.

Resourceful optimism. Assume problems are solvable. Be audacious. Resist false constraints and push beyond the obvious before deciding.

Spit it out. Speak directly, invite critique, avoid equivocation. We want right answers, not comfortable ones. All killer, no filler.

Raise the bar. Hold a high standard for your pace and execution, and elevate the performance of the team around you. Mamba mentality.

Fight for users. Start with users’ realities, not ours. Resist optimizing for internal convenience over user outcomes.

We provide competitive compensation with meaningful equity (for full-time employees) . Everyone who joins will be a major contributor to our success, and we reflect this through ownership and pay.

We also provide rich benefits to ensure you can focus on creating impact (for full-time employees) :

Fully covered medical, vision, and dental insurance.

Memberships for One Medical, Talkspace, Teladoc, and Kindbody.

Unlimited paid time off (PTO) and 16 weeks of parental leave.

401K plan setup, FSA option, commuter benefits, and DashPass.

Lunch at the office every day and Dinner at the office after 6:30 pm.

Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at the company (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity.

The company is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.