Data Engineer – GCP & PySpark

MACHINE LEARNING TECHNOLOGIES LLC; Woodbridge Township (NJ); On-site; USD 77,000 - 110,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Iselin, NJ is seeking an experienced Data Engineer with strong hands-on expertise in GCP and PySpark. You will build scalable data pipelines and cloud-based data solutions to support analytics and decision-making.

The role requires proficiency in Python and SQL, experience with BigQuery, Dataflow, and Dataproc, and a solid understanding of data warehousing and Agile development. This is an 8-month contract with potential extension.

Qualifications

• Experience building scalable data pipelines in cloud environments.
• Hands-on with GCP services: BigQuery, Cloud Storage, Dataflow, Dataproc.
• Proficient in PySpark and Python.
• Strong SQL and data warehousing knowledge.
• Experience with Agile development.

Responsibilities

• Design and build scalable data pipelines on GCP.
• Process and transform large datasets.
• Collaborate with data science and analytics teams.
• Ensure data quality, governance, and performance.

Skills

GCP

PySpark

Python

SQL

ETL/ELT

BigQuery

Dataflow

Dataproc

Agile

Data warehousing

Tools

Spark

Job description

Job ID

J54223

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, OPT-EAD, CPT, H-1B, H4-EAD, 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
• Hands-on PySpark / Apache Spark
• 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

Equal Opportunity Employer

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.