ETL Engineer: Build Scalable Data Pipelines & Warehouses

Quantum Technologies. LLC; San Jose (CA); On-site; USD 140,000 - 170,000; Full time

Job summary

Quantum Technologies. LLC is seeking a data engineer to design, build, and maintain scalable ETL/ELT pipelines on Google Cloud Platform with BigQuery. You will translate business requirements into robust data models and data structures that support analytics and dashboarding.

The role emphasizes data quality, performance tuning, and scalable data architectures. You will collaborate with cross-functional teams to enable reliable data access and insights across the organization.

Qualifications

• Proficiency in Python, SQL, and data engineering concepts.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Build and optimize data warehouses, data lakes, and storage for analytics.
• Implement data quality checks and monitoring.
• Work with large datasets, modeling schemas, and performance tuning.
• Create BI-friendly data models to enable dashboards.

Skills

Python

SQL

Data engineering concepts

Tools

Google Cloud Platform

BigQuery

Job description

Quantum Technologies. LLC is seeking a data engineer to design, build, and maintain scalable ETL/ELT pipelines on Google Cloud Platform with BigQuery. You will translate business requirements into robust data models and data structures that support analytics and dashboarding.

The role emphasizes data quality, performance tuning, and scalable data architectures. You will collaborate with cross-functional teams to enable reliable data access and insights across the organization.