About Company
Prudential Financial is a global leader in financial services, providing insurance, investment management, and other financial products to millions of customers. This role sits within the Chief Data Office (CDO), a critical group responsible for ensuring that Prudential’s data is accurate, accessible, and governed. The CDO is the engine behind Prudential’s digital transformation, focusing on “Innovation at Scale.”
Job Details
| Role: | Senior Software Engineer |
| Salary: | $104,000-171,600 per year |
| Location: | Newark, NJ, USA |
| Job Type: | fulltime |
| Posted Date: | 20/04/2026 |
| Application Deadline: | Apply Soon |
Job Description
As a Senior Software Engineer, you will focus on Master Data Management (MDM) and Reference Data Management (RDM). Your primary mission is to build and enhance the platforms that create a “single version of truth” for the organization’s most critical data (customers, products, assets). You will design and deploy APIs that allow other business units to consume this master data seamlessly. This is a full-stack data engineering role, requiring proficiency in distributed systems (Spark) and modern application frameworks (Node.js).
Requirements
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
- Experience: Professional-level experience in software engineering, specifically within data-centric environments.
- Core Technical Stack:
- Languages: Python, Spark (for distributed data processing), and Node.js frameworks.
- MDM Tools: Preference for Ataccama, but experience with Informatica, Reltio, or IBM MDM is transferable.
- Cloud: Applied experience with AWS Core Services (CloudWatch, Code-Deploy, Kinesis, SQS).
- API Development: Strong skills in REST, JSON, SOAP, and Service-Oriented Architecture (SOA) patterns.
- Methodologies: Expert knowledge of Agile, Test-Driven Development (TDD), and DevOps practices (Jenkins, GitHub/Bitbucket).
- Databases: Comfort with both Relational (MySQL) and NoSQL data structures.
Roles and Responsibilities
- Platform Engineering: Actively code against the MDM roadmap, ensuring code follows modern design patterns and architectural principles.
- API Development: Build and maintain robust APIs to facilitate the consumption of master data across the enterprise.
- Testing & Quality: Write unit, integration, and functional automation tests to ensure high-quality deployments.
- Collaborative Design: Partner with Product Owners to define feature stories and Tech Leads to define high-level technical designs.
- Distributed Processing: Solve complex data problems using Python and Spark in distributed environments.
- Mentorship: Begin to identify opportunities to coach junior members and embed innovation into the team’s day-to-day workflow.
How to Apply?
Role Summary
The Senior MDM Engineer is the “Guardian of the Source.” In a massive financial institution like Prudential, data fragmentation (having different info for the same customer in different systems) is a multi-million dollar problem. You are building the logic that cleanses, matches, and merges this data into a master record.
Company Culture & Insights
Prudential is highly transparent about its diversity goals and current representation. Based on their 2024-2025 global reporting (projected into 2026), the following statistics represent their commitment to an inclusive workforce:
U.S. Workforce Demographics (Approximate):
Leadership Diversity: Prudential has a goal to increase people of color in senior leadership to 30% and women to 45% by the end of 2026.
Total Gender Diversity: 49% Women | 51% Men.
Racial & Ethnic Representation:
White: 54.2%
Asian: 18.1%
Black / African American: 14.8%
Hispanic / Latinx: 10.5%
Two or more races / Other: 2.4%
Why We Recommend This Job
- Financial Stability: Working at a legacy leader like Prudential offers high job security and a “Total Rewards” package that includes a pension plan—a rarity in modern tech.
- Hybrid Flexibility: The 3-day on-site requirement in Newark provides a balance of collaborative office energy and remote focus time.
- Modern Tech Stack: You aren’t just maintaining legacy COBOL; you are working with Spark, Node.js, and AWS Kinesis, which are the gold standards for modern data engineering.
Career Growth Potential
Staff Engineer (Developer Platform): Leading the global strategy for Benchling’s extensibility.
AI Infrastructure Architect: Moving specifically into the team that builds the models and agentic frameworks for biotech.
Head of Developer Relations/Ecosystem: Transitioning into a strategic leadership role managing partner integrations.
Skills You’ll Gain
| Category | Tools & Competencies |
| Data Mastery | Ataccama MDM, Data Deduplication, Golden Record Logic. |
| Cloud/Messaging | AWS Kinesis (Real-time streaming), SQS, CloudWatch. |
| Architecture | Design Thinking, Service-Oriented Architecture (SOA), Microservices. |
| Software Quality | TDD (Test-Driven Development), Functional Automation, CI/CD. |
Salary & Benefits Info
- Salary Range: $104,000.00 to $171,600.00 (Determined by experience and location).
- Bonus: Annual discretionary incentive program based on individual and organizational performance.
- Retirement: 401(k) with a 4% company match PLUS a company-funded pension plan.
- Wellness: Up to $1,600/year reimbursement for personal wellbeing items (gym, equipment, etc.).
- Education: Benefits to help finance traditional college degrees and accredited certifications.
Interview Preparation
Frequently Asked Interview Questions
- MDM Logic: “How do you handle ‘Survivorship Rules’ when merging two records from different sources that have conflicting phone numbers?”
- Distributed Systems (Spark): “Explain how Spark handles data shuffling. How would you optimize a Spark job that is running slowly due to data skew?”
- API Design: “What are the trade-offs between using REST/JSON versus SOAP/XML for an enterprise master data service?”
- TDD: “Walk me through your process of writing a failing test case before writing the functional code for a new Python data ingestion script.”
Behavioral & Culture Questions
- Strategic Conflict: “Describe a time you had to ‘push back’ on a product requirement because it compromised the long-term maintainability of the developer platform.”
- Cross-Functional Collaboration: “How do you explain the technical limitations of a new API to a non-technical Product Manager who is focused on a tight customer deadline?”
- Mentorship: “Tell me about a time you helped a mid-level engineer level up. What specific process improvements did you implement to help the team grow?”