Lead Data Engineer

PGIM

Lead Data Engineer responsible for developing and optimizing data pipelines and architectures at PGIM Private Capital. Collaborating with cross-functional teams to meet business objectives.

Posted 4/22/2026full-timeNewark • New Jersey • 🇺🇸 United StatesSenior💰 $150,000 - $190,000 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudPythonScalaSQLVault

About the role

Key responsibilities & impact

Lead and mentor data engineers and data modelers on the team.
Collaborate strategically with business partner 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 lakehouses using Data Vault 2.0 and Medallion architectures.
Develop semantic models and reports using Power BI.
Act as responsible data stewards to ensure data integrity, compliance, and trust.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Medical, dental, vision, life insurance, disability insurance
Paid Time Off (PTO)
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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata modelingdata ingestiondata processingAzure Data FactoryDataflow Gen2Data Vault 2.0Medallion architecturePower BISQL

Soft Skills

leadershipmentoringproblem-solvingcommunicationteamworkcollaborationagilitytrustdata stewardshipcompliance

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Engineering