Data Engineer – GCP & PySpark

Machine Learning Technologies, LLC; Woodbridge Township (NJ); Presencial; USD 56.000 - 94.000; Jornada completa

Descripción de la vacante

Machine Learning Technologies, LLC in Iselin, NJ seeks an experienced Data Engineer with strong GCP and PySpark skills to design and build scalable data pipelines. You will process large datasets, implement ETL/ELT workflows, and deliver cloud-based data solutions. Collaboration across teams and an Agile environment are expected.

Formación

• Experience with GCP and PySpark in data engineering roles.
• Strong coding in Python and SQL for data processing.
• Design and implement scalable data pipelines and ETL/ELT processes.
• Experience with GCP services like BigQuery, Cloud Storage, Dataflow, Dataproc.

Responsabilidades

• Build scalable data pipelines on GCP using PySpark.
• Process large datasets and optimize data processing workflows.
• Develop cloud-based data solutions and improve data quality.
• Collaborate with cross-functional teams to deliver data products.

Conocimientos

GCP

Python

SQL

Data pipeline

ETL/ELT

BigQuery

Cloud Storage

Dataflow

Dataproc

Data warehousing

Agile development

Descripción del empleo

Job Title

Data Engineer – GCP & PySpark

Location

Iselin, NJ

Duration

8 Months + Extension

Bill Rate

$68/hour (C2C)

Job Type

W-2, 1099, C2C

Client

To Be Discussed Later

Work Authorization

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Description

Seeking an experienced Data Engineer with strong hands-on expertise in GCP, PySpark, and data engineering. The candidate will be responsible for building scalable data pipelines, processing large datasets, and developing cloud-based data solutions.

Key Skills

• Strong experience with GCP
• Python and SQL
• Data pipeline development and ETL/ELT
• GCP services such as BigQuery, Cloud Storage, Dataflow, Dataproc
• Experience with data warehousing and cloud data platforms
• Strong understanding of data engineering best practices and Agile development

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.