Data Engineer: Scale Data Lakes & ETL (Onsite)

Quantum Technologies. LLC; Mountain View (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Quantum Technologies. LLC is seeking a Data Engineer to design and optimize data pipelines in Mountain View, CA and onsite in Dallas, TX. The candidate will work with Hadoop, Hive, Spark and SQL to build robust ETL processes and data models, supporting analytics and reporting across cloud platforms.

The role requires 3-5 years in data engineering, strong fundamentals, and excellent communication. Onsite-only work with a strong emphasis on collaboration and quality deliverables.

Qualifications

• BS in Computer Science/Engineering or equivalent practical experience with data engineering focus.
• Experience with Big Data, Hadoop, Hive, Python, PySpark, ETL and SQL; any cloud.
• 3-5 years in data engineering (ETL, data lakehouse, data modeling).
• Strong fundamentals in algorithms, distributed computing, data structures and data warehousing.
• Fluency in Python/Java/SQL; self-driven with teamwork and strong communication.

Skills

Python

Java

SQL

Hadoop

Hive

PySpark

ETL

Data Modeling

Big Data

Cloud Platforms

GCP

Education

Bachelor's Degree in CS/Engineering

Tools

Hadoop

Hive

Spark

Kafka

Oozie

GCP

Job description

Quantum Technologies. LLC is seeking a Data Engineer to design and optimize data pipelines in Mountain View, CA and onsite in Dallas, TX. The candidate will work with Hadoop, Hive, Spark and SQL to build robust ETL processes and data models, supporting analytics and reporting across cloud platforms.

The role requires 3-5 years in data engineering, strong fundamentals, and excellent communication. Onsite-only work with a strong emphasis on collaboration and quality deliverables.