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
*PGIM welcomes all applicants, even if you don't meet every requirement. If your skills align with the role, we encourage you to apply.
What we offer you:
Market competitive base salaries, with a yearly bonus potential at every level .
Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave .
401(k) plan with company match (up to 4%).
Company-funded pension plan.
Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs.
Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs.
Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service.
Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom.
If you need an accommodation to complete the application process, please email accommodations.hw@prudential.com .
If you are experiencing a technical issue with your application or an assessment, please email careers.technicalsupport@prudential.com to request assistance .
Benefits
Health insuranceDental insuranceVision insurance401(k)Paid time offEquity / stock optionsPerformance bonusParental leave
Additional Information
Job Classification:
Technology - Engineering & Cloud
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
Pru · Newark, NJ