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# Senior Data Engineer - PGIM Technology (Hybrid - Newark, NJ)

- **Company:** Prudential Financial, Inc.
- **Location:** Newark, NJ, United States
- **Experience:** Expert
- **Salary:** $78,918.0 - $128,242.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Access, Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Big Data, Continuous Integration, Data Validation, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Github, Python (Programming Language), Machine Learning, Cloud Services, Standard Sql, Search Technologies, SQL Databases, Data Ingestion, Azure Data Factory, Large Language Models, Apache Spark, Generative AI, Git, Microsoft Fabric, Data Lakes, Pyspark, Information Technology, AWS Glue, Machine Learning Operations, Restful APIs, Data Pipelines, Microservices
- **Published:** August 11, 2026
- **Apply:** https://www.jofdav.com/jobs/59185554-senior-data-engineer-pgim-technology-hybrid-newark-nj

## About the Role

Bachelor's or Master's degree in Computer Science, Data Engineering, or related field

 - 3-6 years of experience in data/AI engineering

 - Strong Python and SQL skills

 - Experience with data pipeline tools (ADF, Fabric, AWS Glue, etc.)

 - Experience with Spark/PySpark

 - Familiarity with data lakes and warehouses

 - Experience deploying ML models

 - Basic MLOps understanding

 - Exposure to Generative AI (embeddings, RAG, LLM APIs)

 - Experience with REST APIs and microservices

 - Familiarity with CI/CD and Git

 - Understanding of data governance and security

 - Strong problem-solving and communication skills

## Description

As an AI/Data Engineer, you will design, build, and maintain scalable data and AI solutions supporting business and analytics needs on modern cloud platforms. You will work closely with senior engineers, architects, and business stakeholders to develop data pipelines, enable analytics, and integrate AI capabilities into applications.

This role will focus on hands-on engineering, including data ingestion, transformation, and enabling AI use cases such as semantic search and Retrieval-Augmented Generation (RAG). You will contribute to building reusable data frameworks and accelerating adoption of cloud-native data and AI technologies.

This role is based in our office in Newark, NJ following a hybrid work structure with on-site presence required 3 days per week.

What you can expect:

 - Build and maintain scalable data pipelines (ETL/ELT)

 - Develop solutions using Microsoft Fabric, Azure Data Factory, or similar

 - Implement data quality checks, transformations, and data modeling

 - Work with large-scale datasets using PySpark / SQL

 - Deploy and integrate machine learning models into pipelines

 - Develop AI-powered solutions (semantic search, embeddings, RAG)

 - Build and expose data and AI services via APIs

 - Contribute to CI/CD pipelines using GitHub Actions or Azure DevOps

 - Implement best practices for data security, governance, and access

 - Monitor and troubleshoot pipelines and AI systems

 - Collaborate with analysts, scientists, and stakeholders

 - Contribute to documentation and reusable components


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