Data Engineer – GCP & PySpark

Valiant Technologies LLC; Woodbridge Township (NJ); On-site; USD 77,000 - 110,000; Full time

Job summary

Valiant Technologies LLC is seeking an experienced Data Engineer to design and implement scalable data pipelines in GCP using PySpark. You will build cloud-based data solutions, process large datasets, and optimize data workflows for reliability and performance.

Join an Agile team in Iselin, NJ for an 8-month engagement with potential extension. Key tools include BigQuery, Dataflow, Dataproc, and cloud data platforms.

Qualifications

• Experience with GCP, PySpark and data engineering.
• Build scalable data pipelines and cloud-based data solutions.
• Familiar with BigQuery, Cloud Storage, Dataflow and Dataproc.

Responsibilities

• Build scalable data pipelines and process large datasets.
• Develop cloud-based data solutions.

Skills

GCP experience

Python & SQL

Data pipelines

BigQuery & Cloud Storage

Data warehousing

Agile development

Job description

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.