Senior Data Engineer – Spark, Oracle & Cloud Analytics

Quantum Technologies. LLC; Irving (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Quantum Technologies. LLC is seeking an experienced Data Engineer with Oracle-based analytical platforms and Apache Spark to support large-scale data modernization, migration, and analytics initiatives.

You will design and optimize pipelines with Spark (PySpark/Scala) and Python, implement Oracle GoldenGate CDC, and work with cloud data services as part of a modern cloud analytics stack.

Qualifications

• 8+ years of experience in Data Engineering or related roles.
• Hands-on experience with Spark (PySpark/Scala) and Python.
• Deep understanding of Oracle databases supporting OLAP, data warehousing, and analytical workloads.
• Proven experience tuning Spark applications, complex SQL queries, and large ETL/ELT workloads.
• Experience with Oracle GoldenGate, CDC, or enterprise‑scale data integration technologies.

Responsibilities

• Design, develop, and optimize large-scale data processing solutions using Apache Spark (PySpark/Scala) and Python.
• Build and maintain scalable ETL/ELT pipelines for analytical and reporting workloads.
• Optimize query performance, Spark jobs, and end-to-end data processing pipelines for high-volume batch and near real‑time workloads.
• Design and implement data integration, replication, and ingestion solutions using Oracle GoldenGate, Kafka, and CDC frameworks.
• Collaborate with application, data, and analytics teams to develop scalable data models and processing frameworks.
• Drive performance tuning initiatives across Oracle, Spark, and distributed data processing environments.

Skills

Spark

Python

SQL

Data modeling

ETL/ELT

Performance tuning

Tools

Oracle GoldenGate

Kafka

CDC frameworks

BigQuery

Dataproc

Job description

Quantum Technologies. LLC is seeking an experienced Data Engineer with Oracle-based analytical platforms and Apache Spark to support large-scale data modernization, migration, and analytics initiatives.

You will design and optimize pipelines with Spark (PySpark/Scala) and Python, implement Oracle GoldenGate CDC, and work with cloud data services as part of a modern cloud analytics stack.