Data Engineer

Quantum Technologies. LLC; Woodbridge Township (NJ); On-site; USD 90,000 - 130,000; Full time

Job summary

Quantum Technologies LLC seeks 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.

You will work with BigQuery, Cloud Storage, Dataflow and Dataproc, implement ETL/ELT processes, and promote data quality and best practices in an Agile environment.

Qualifications

• Experience building data pipelines and data integrations in cloud environments.
• Strong SQL and Python development skills for data processing.
• Familiarity with data warehousing concepts and cloud data platforms.
• Hands-on with GCP services like BigQuery, Dataflow, Dataproc, and Cloud Storage.

Responsibilities

• Build scalable data pipelines on GCP and process large datasets.
• Develop cloud-based data solutions and optimize data workflows.
• Implement ETL/ELT processes and ensure data quality and reliability.
• Collaborate with cross-functional teams in an Agile software development environment.

Skills

GCP

Python

SQL

ETL/ELT

Data pipelines

BigQuery

Cloud Storage

Dataflow

Dataproc

Data warehousing

Agile

Job description

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

Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary:

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.