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Senior Data Engineer – Build scalable data pipelines, AI services, and semantic search solutions at PGIM Technology in Newark, NJ.
Hybrid role, 3 days onsite per week, industry focus on Microsoft Fabric, Azure, PySpark, RAG, and ML model deployment.
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
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, even if you don’t meet every requirement. 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, national origin, 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 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.