Senior Data & AI Engineer - Cloud Pipelines & RAG

PGIM; Newark (NJ); Hybrid; USD 115,000 - 155,000; Full time

Benefits offered by this job

Medical, dental, vision, life insurance

401(k) plan with company match

Company-funded pension plan

Education Benefit for college enrollment

Wellness Programs for personal wellbeing

Market competitive base salaries with yearly bonus potential

Job summary

PGIM in Newark, NJ is looking for an AI/Data Engineer to design and maintain data and AI solutions for business and analytics needs. This role involves building data pipelines, integrating AI into applications, and collaborating with stakeholders.

The ideal candidate should have 3–6 years of experience in data engineering, be skilled in Python and SQL, and familiar with cloud platforms like Azure. The position follows a hybrid work model requiring three days in the office.

Qualifications

• 3–6 years of experience in data/AI engineering.
• Experience deploying ML models.
• Familiarity with data lakes and warehouses.

Responsibilities

• Design, build, and maintain scalable data and AI solutions.
• Develop data pipelines and enable analytics.
• Monitor and troubleshoot pipelines and AI systems.

Skills

Python

SQL

Data pipeline tools (ADF, Fabric, AWS Glue)

Spark/PySpark

REST APIs

CI/CD

MLOps understanding

Generative AI (embeddings, RAG, LLM APIs)

Data governance and security

Strong problem‑solving and communication skills

Education

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

Tools

Microsoft Fabric

Azure Data Factory

Job description

PGIM in Newark, NJ is looking for an AI/Data Engineer to design and maintain data and AI solutions for business and analytics needs. This role involves building data pipelines, integrating AI into applications, and collaborating with stakeholders.

The ideal candidate should have 3–6 years of experience in data engineering, be skilled in Python and SQL, and familiar with cloud platforms like Azure. The position follows a hybrid work model requiring three days in the office.