Hiring: Data Engineer Company: Courier Health Location: New York, NY Job Posted Time: 2026-09-15 11:05:49 Target Skills & Keywords : Airflow, CI/CD, Data Pipeline, Data Warehouse, Embedded Systems, HIPAA, Kafka, PostgreSQL, Redshift, SQL, dbt About the job Experience: •3-5 years of professional data engineering experience •5 years of professional data engineering experience Required Skills: •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. •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. Qualifications: •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 •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 Compensation: •$120,000 - $150,000 / year •100% paid employee health benefit options (including medical, dental, and vision) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!