Senior Data Engineer -- Oracle \& Spark on W2

Location: Irving, TX

Work Model: Onsite

Experience: 10 Years

Employment Type: W2

Visa: Any Visa

Eligibility: US Candidates Only

Required Skills

Oracle, SQL, PySpark, Python, Apache Spark, AI

Job Description

We are seeking an experienced Senior Data Engineer with strong expertise in Oracle-based analytical platforms and Apache Spark to support large-scale data modernization, migration, and analytics initiatives.

The ideal candidate will have hands-on experience developing high-performance data pipelines, optimizing large-scale data processing workloads, and integrating enterprise data platforms with modern analytics solutions.

Key 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.

• 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.

Required Qualifications

• 8 years of experience in Data Engineering or related roles.

• Strong hands-on experience with Apache Spark (PySpark and/or Scala) and Python.

• Deep understanding of Oracle databases supporting OLAP, data warehousing, and analytical workloads.

• Experience optimizing Spark applications, execution plans, and complex SQL queries.

• Strong SQL and data modeling skills.

• Experience with large-scale ETL/ELT processes and high-volume batch processing.

• Experience with Oracle GoldenGate, CDC, or enterprise-scale data integration technologies.