Data Engineer

Courierhealth; New York (NY); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

100% paid employee health benefits

Unlimited vacation

401(k) with employer match

Commuter benefits

Wellness stipend

Catered lunch on Fridays

Paid parental leave

Job summary

Courierhealth is looking for a Data Engineer in New York, New York. You will be instrumental in building transformation layers and improving analytics pipelines. The role includes developing SQL models and creating reliable datasets that will directly enhance client and internal reporting.

The ideal candidate has 3-5 years in data engineering with strong SQL skills and a passion for learning. Exceptional benefits include unlimited vacation and 100% paid employee health benefits.

Qualifications

• 3-5 years of professional data engineering experience.
• Strong SQL skills with an understanding of relational data modeling.
• Experience developing data pipelines and transformations in production environments.

Responsibilities

• Develop dbt models and SQL transformations to create reliable datasets.
• Monitor replication and orchestrated pipelines to improve data reliability.
• Build and refine datasets and dashboards for internal teams and clients.

Skills

Strong SQL

Data pipeline development

Data transformations

Eagerness to learn

Tools

PostgreSQL

dbt

Airflow

Job description

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.

About the Team

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.

About the Role

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.

What You’ll Do

• Build data models: develop dbt models and SQL transformations, backed by tests, that turn raw data into reliable datasets.
• Improve pipeline reliability: help monitor our replication and orchestrated pipelines, investigate data issues, and add quality checks.
• Power reporting: build and refine the datasets and dashboards that internal teams and clients rely on.
• Learn and grow: work closely with senior engineers, take part in code review, and steadily take on more ownership.

Who You Are

We’re open on exact tools — we care about fundamentals and trajectory. You’ll likely have most of the following:

• 3-5 years of professional data engineering experience
• Strong SQL: you write correct, readable SQL and understand relational data modeling
• Data experience: you’ve developed data pipelines and transformations in production environments
• Eagerness to learn: you take feedback well, ask good questions, and are excited to grow as a data engineer

Nice to have: exposure to dbt, CDC / replication or orchestration tools (e.g. Estuary Flow, Debezium/Kafka, Airflow), a cloud data warehouse (ex. Redshift), a BI tool (ex. Sigma, Looker); comfort with PostgreSQL or a similar database.

Our stack

• Databases: PostgreSQL across our production and analytics environments, with room to grow into a cloud warehouse (ex. Redshift) as we scale
• Ingestion: CDC / streaming replication into analytics (evaluating tools like Estuary Flow and Debezium/Kafka)
• Transformation: building out a version‑controlled, dbt‑based staging/marts layer with data tests and CI/CD
• Orchestration: scheduled, observable pipeline runs (e.g. Airflow or similar)
• BI & embedded analytics: a modern BI and embedding platform (we use Sigma) for internal reporting and in‑product client analytics, with a maturing semantic/metrics layer
• Domain: life sciences / healthcare data; comfort working in HIPAA‑aware, PHI‑handling environments is a plus

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

The annual salary range for the target level for this role is $120,000-$150,000 + equity + benefits, including medical, dental, and vision. Final compensation will be determined based on a variety of factors including relevant experience, interview performance, and internal equity.

Courier Health is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.