Databricks Data Engineer

IntoneCCM; Jersey City (NJ); Presencial; USD 83.000 - 124.000; Jornada completa

Descripción de la vacante

Intone Inc. is hiring a Databricks Data Engineer for a contract position in Jersey City, New Jersey. You will design and build scalable data pipelines and infrastructure to support analytics and metrics across our data platform.

The role involves building ingestion and transformation layers on Databricks, developing workflows with Azure Data Factory, and optimizing SQL/Python code for data processing. This contract spans 6+ months and is based onsite in Jersey City.

Formación

• Hands-on coding experience with SQL or Python.
• Experience with Databricks.
• Experience with Azure Data Factory.
• Mid to senior-level expertise in data engineering.

Responsabilidades

• Build and maintain scalable ingestion, transformation, and storage pipelines across Databricks Medallion Layers.
• Develop and optimize data workflows using Azure Data Factory.
• Design and manage SQL Server and staging/data layers.
• Support the Metrics Repository and facilitate the onboarding of new datasets.
• Write and optimize SQL and Python code for data processing and pipeline automation.

Conocimientos

SQL

Python

Herramientas

Databricks

Azure Data Factory

Descripción del empleo

We are hiring a Databricks Data Engineer for a contract position (6+ months) based in Jersey City, New Jersey. In this role, you will design and build scalable data pipelines and infrastructure to support analytics and metrics across our data platform.

Responsibilities

• Build and maintain scalable ingestion, transformation, and storage pipelines across Databricks Medallion Layers
• Develop and optimize data workflows using Azure Data Factory
• Design and manage SQL Server and staging/data layers
• Support the Metrics Repository and facilitate the onboarding of new datasets
• Write and optimize SQL and Python code for data processing and pipeline automation

Qualifications

• Required
• Hands‑on coding experience with SQL or Python
• Experience with Databricks
• Experience with Azure Data Factory
• Mid to senior‑level expertise in data engineering