Senior Data Engineer — DataOps & ML Pipelines (Remote)

The Leading Hotels of the World, Ltd; New York (NY); Híbrido; USD 140.000 - 160.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

PTO 22 days

11 holidays

Medical coverage

HSA with company contribution

401(k) match 4%

Home office setup credit

Travel credit

Financial advisory services

Descripción de la vacante

The Leading Hotels of the World, Ltd is seeking a Senior Data Engineer to join the Enterprise Data team in New York City. The role focuses on designing, building, and maintaining data infrastructure and pipelines to deliver reliable data products for reporting, analytics, AI, ML, and business operations.

This hybrid position offers remote work 3 days per week with in-office presence 2 days a week in NYC, and collaboration with business and technology teams to advance data quality, governance,

Formación

• Bachelor’s degree and 7+ years of experience in data engineering or related field.

Responsabilidades

• Design, build, and optimize data pipelines for ingestion, transformation, and delivery.
• Develop scalable data architectures, including data lakes and data warehouses.
• Build reliable, reusable data products and data models that support reporting, analytics, AI, machine learning, and business operations.
• Optimize performance across data platforms and pipelines.

Conocimientos

SQL

Python

Data modeling

Communication

Educación

BS in related field

Herramientas

Snowflake

BigQuery

Redshift

Databricks

AWS Glue

Amazon S3

Amazon Redshift

Amazon Aurora MySQL

Spark

Airflow

dbt

Descripción del empleo

The Leading Hotels of the World, Ltd is seeking a Senior Data Engineer to join the Enterprise Data team in New York City. The role focuses on designing, building, and maintaining data infrastructure and pipelines to deliver reliable data products for reporting, analytics, AI, ML, and business operations.

This hybrid position offers remote work 3 days per week with in-office presence 2 days a week in NYC, and collaboration with business and technology teams to advance data quality, governance,