Lead, Data Engineer - PGIM Private Capital; Hybrid - Newark, NJ

Overview

Job Classification:
Technology - Engineering & Cloud

As the Global Asset Management business of Prudential, we’re always looking for ways to improve financial services. We’re passionate about making a meaningful impact - touching the lives of millions and solving financial challenges in an ever-changing world. We also believe talent is key to achieving our vision and are intentional about building a culture on respect and collaboration. When you join PGIM, you’ll unlock a motivating and impactful career – all while growing your skills and advancing your profession at one of the world’s leading global asset managers.

If you’re not afraid to think differently and challenge the status quo, come and be a part of a dedicated team that’s investing in your future by shaping tomorrow today. At PGIM, You Can!

• Lead Data Engineer role on the PPC Information Technology & Services team, developing, maintaining, and optimizing data pipelines, architectures, and data sets. Work closely with business analysts and data engineers to ensure data solutions are robust, scalable, and aligned with business objectives.
• Lead and mentor data engineers and data modelers on the team. Collaborate strategically with business partners to gather requirements and provide data-driven insights and solutions.
• Implement and maintain data engineering best practices for stability and scalability. Develop and implement a production support plan that conveys urgency and trust.
• Design, implement, and optimize highly scalable data ingestion and processing pipelines with Azure Data Factory, Dataflow Gen2, and other services in Fabric. Architect and maintain data models and lake houses using Data Vault 2.0 and Medallion architectures.
• Develop semantic models and reports using Power BI. Act as responsible data steward to ensure data integrity, compliance, and trust.

• Bachelor’s degree or above in Computer Science, Engineering, or a related field.
• Previous experience leading data engineers.
• Strong proficiency with Azure cloud services such as Azure Data Factory, Azure Data Lake, Azure SQL Database, and Azure Databricks.
• Experience with SQL and common data science toolkits. Proficiency in programming languages such as Python or Scala.
• Strong problem-solving skills and ability to work in a dynamic and agile environment. Excellent communication and teamwork skills.
• Knowledge of development methodologies (Agile, Scrum, etc.) is a plus.

• Fabric knowledge and exposure
• Apache Spark
• Data Lakehouse
• Investment Management Industry or Fintech experience

PGIM Private Capital (PPC) focuses on global markets to offer deal flow to investors and issuers. Our culture emphasizes collaboration, professional development, and a healthy balance between professional and personal life. We seek talented individuals who can contribute and grow within the organization.

Salary range for this role is from $150,000 to $190,000. We offer market-competitive base salaries, bonus potential, and comprehensive benefits including medical, dental, vision, life and disability insurance, PTO, 401(k) with company match, and additional wellness and education programs. Eligibility for incentives is subject to program rules and individual/organizational performance. For more details about total rewards, visit the Prudential Careers pages.

Prudential Financial, Inc. 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 acc