Data Engineer (W2 Only)

Raas Infotek; Rahway (NJ); Sur place; USD 83 000 - 165 000; Plein temps

Résumé du poste

A technology firm is seeking an urgent Data Engineer to work onsite in Rahway, NJ, or Westpoint, PA. The ideal candidate will possess strong skills in SQL, DBT, and Python, as well as experience with Airflow and Databricks. This role focuses on data engineering in a cloud environment and includes responsibilities for data modeling and workflow orchestration.

Qualifications

• Highly skilled Data Engineer with strong experience in SQL, DBT, Python, Airflow, and Databricks.
• Strong proficiency in SQL and relational database concepts.
• Hands-on experience with DBT for data modeling and transformations.
• Solid knowledge of Python for scripting and automation.
• Expertise in Airflow for workflow orchestration.
• Experience with Databricks and distributed data processing.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and data lakes.

Responsabilités

• Design and implement data pipelines using SQL, Python, and Airflow.
• Develop DBT models and transformations for data lakes.
• Leverage Databricks for distributed data processing on cloud platforms.
• Collaborate with stakeholders during contract-to-hire engagements.

Connaissances

SQL

DBT

Python

Airflow

Databricks

Outils

AWS

Azure

GCP

Description du poste

We have an urgent Data Engineer position. Please send your resume and expected rate if interested.

Job Role: Data Engineer

Location: Rahway, NJ or Westpoint, PA (Onsite)

Mode: Contract to Hire

Seniority Level: Associate

Employment Type: Contract

Job Function: Information Technology

Job Description

• Highly skilled Data Engineer with strong experience in SQL, DBT, Python, Airflow, and Databricks.
• Strong proficiency in SQL and relational database concepts.
• Hands‑on experience with DBT for data modeling and transformations.
• Solid knowledge of Python for scripting and automation.
• Expertise in Airflow for workflow orchestration.
• Experience with Databricks and distributed data processing.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and data lakes.

Contact: Direct No: 302 286 9939 Ext: 109