Data Engineer - PySpark

We are seeking an experienced Data Engineer with strong PySpark and SQL expertise to join our Banking client in Pittsburgh, PA. This is a fully onsite role supporting data engineering initiatives, pipeline development, and modernization efforts within a structured and governed data environment., * Participate in daily Scrum calls and Agile ceremonies.

• Develop, enhance, and maintain data pipelines and transformation processes.
• Perform coding, testing, debugging, and implementation activities.
• Collaborate with business and technical teams to translate requirements into scalable data solutions.
• Ensure data quality through rigorous validation, reconciliation, and testing.
• Optimize existing data processing workflows and improve performance.
• Support modernization initiatives and upcoming change release implementations.

Visa/Sponsorship: Candidates must be authorized to work on W2 without current or future sponsorship requirements., * 8+ years of overall IT experience.

• Strong hands-on experience with PySpark and Spark-based data processing.
• Advanced SQL skills with expertise in complex data transformations.
• Experience building and maintaining large-scale data pipelines.
• Strong data validation, reconciliation, and troubleshooting skills.
• Ability to translate business requirements and source-to-target mappings into technical solutions.
• Experience working in structured, governed data ecosystems.
• Strong Python, SQL, Git, and Linux skills.
• Experience with object-oriented programming principles.
• Practical debugging and performance optimization experience.

Preferred Skills

• Jenkins
• Apache Spark
• Hadoop Ecosystem
• Pandas
• Banking or Financial Services experience