Senior Data Engineer — AI-Ready Data Pipelines

zipcolimited; United States; A distancia; USD 170.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-first policy

US-based role

Manhattan office option

Descripción de la vacante

Zip is hiring a Senior Data Engineer to build and evolve our data platform powering analytics across risk, finance, product, and operations. You will own scalable pipelines, trusted data models, and reusable data products on a modern cloud platform.

The ideal candidate brings 5+ years designing production data pipelines, advanced SQL and Python, and hands-on experience with Snowflake, Databricks, and dbt. You’ll partner with analytics, risk, and ML teams in a remote-first US-based role with an

Formación

• 5+ years designing, building, and operating scalable data pipelines in production environments.
• Strong SQL and Python, with production-quality code.
• Hands-on experience with Snowflake, Databricks, and cloud data platforms.
• Solid data modeling fundamentals and dimensional modeling.
• Experience with ETL/ELT tooling (dbt) and orchestration (Airflow).
• Experience with streaming, CDC, or event-driven architectures and data quality/observability.

Responsabilidades

• Design, build, and operate scalable data pipelines across our cloud platform.
• Develop trusted, reusable data products and semantic models for analytics and business use.
• Build and optimize ETL/ELT workflows with modern frameworks (dbt, Airflow).
• Strengthen data quality, reliability, and observability with automated checks.
• Design near-real-time data capabilities for monitoring, risk, and product needs.
• Collaborate with Data Science and ML teams to support AI-ready datasets.

Conocimientos

SQL

Python

Data modeling

Production ownership

Observability

Cloud data platforms

Herramientas

Snowflake

Databricks

dbt

Airflow

Kafka

Azure

Descripción del empleo

Zip is hiring a Senior Data Engineer to build and evolve our data platform powering analytics across risk, finance, product, and operations. You will own scalable pipelines, trusted data models, and reusable data products on a modern cloud platform.

The ideal candidate brings 5+ years designing production data pipelines, advanced SQL and Python, and hands-on experience with Snowflake, Databricks, and dbt. You’ll partner with analytics, risk, and ML teams in a remote-first US-based role with an