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

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

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. It follows a hybrid work structure with on‑site presence required three 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

What You Will Bring

• 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; if your skills align with the role, we encourage you to apply.

Note: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The annual base salary range for this role is from $115,000 to $155,000. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills.

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.

Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. To find out more about our Total Rewards package, visit Work Life Balance | Prudential Careers. Some of the above benefits may not apply to part‑time employees scheduled to work less than 20 hours per week.

Prudential Financial, Inc. of the United States is not affiliated with Prudential plc, which is headquartered in the United Kingdom.

Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law.

If you need an accommodation to complete the application process, please email [e-mail].

If you are experiencing a technical issue with your application or an assessment, please email [e-mail] to request assistance.