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# Senior Data Engineer

- **Company:** PGIM, Inc.
- **Location:** Newark, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Data Analysis, Data Integrity, Data Warehousing, DevOps, R (Programming Language), Python (Programming Language), NoSQL, Systems Development Life Cycle, Scala (Programming Language), Shell Script, SQL Databases, Cloud Platform System, Modern Ui, Data Ingestion, Apache Spark, Data Lakes, Pyspark, Integration Tests, Information Technology, Deployment Automation, Data Analytics, Data Pipelines, Programming Languages
- **Published:** August 8, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/senior-data-engineer-newark-nj-usa-58861042

## About the Role

_ technologies and share learning to drive day-to-day innovation * Tackle complex problems requiring in-depth analysis * Utilize programming languages including Python, R, SQL, Java, Scala, PySpark/Apache Spark, Shell scripting Tasks * Bachelor in Computer Science or Engineering or related field * Experience with DevOps automation and SDLC * Strong problem solving, communication and collaboration skills * Ability to continuously learn new skills * Applied experience with Python, R, SQL, Java, Scala, PySpark/Spark, Shell scripting * Experience with data ingestion, integration and transformation across multiple sources * Experience with relational and NoSQL databases, data warehousing tools, and data lake concepts * Knowledge of AWS and cloud-based architectures * Experience with testing (unit/integration) and quality assurance in a DevOps context Key requirements * competitive base salary * medical, dental, vision insurance * 401(k) with company match * pension plan * paid time off a
R, parental/military leave * education benefits

## Description

Experteer Overview In this role you will build and optimize data pipelines for Prudential's financial data lakes, partnering with architects, engineers and data experts to deliver high-quality, scalable data solutions. You will analyze data, support prescriptive and predictive modeling, and contribute to platform delivery with modern design patterns. You'll work across cross-functional teams to improve data reliability and enable data-driven decisions, with a strong focus on learning and innovation. Compensation / Benefits * Build and optimize data pipelines, logic and storage systems following industry standards * Develop high-quality, well-documented code adhering to Prudential standards * Conduct complex data analysis and prepare data for modeling, integrating multiple sources * Collaborate with analysts, scientists and architects to improve data acquisition, transformation and quality * Write unit/integration tests and automate validation to address quality issues * Apply emerging technologies and share learning to drive day-to-day innovation * Tackle complex problems requiring in-depth analysis * Utilize programming languages including Python, R, SQL, Java, Scala, PySpark/Apache Spark, Shell scripting Tasks * Bachelor in Computer Science or Engineering or related field * Experience with DevOps automation and SDLC * Strong problem solving, communication and collaboration skills * Ability to continuously learn new skills * Applied experience with Python, R, SQL, Java, Scala, PySpark/Spark, Shell scripting * Experience with data ingestion, integration and transformation across multiple sources * Experience with relational and NoSQL databases, data warehousing tools, and data lake concepts * Knowledge of AWS and cloud-based architectures * Experience with testing (unit/integration) and quality assurance in a DevOps context Key requirements * competitive base salary * medical, dental, vision insurance * 401(k) with company match * pension plan * paid time off and parental/military leave * education benefits


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