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Director Data Engineer Jobs in Elizabeth, NJ (NOW HIRING)

Director, Data Architecture Reports to: Chief Digital & Data Officer Location: United States ... You'll collaborate with engineering, analytics, governance, and business teams to drive adoption ...

Associate Director, Data Engineering

New York, NY · On-site

$64K - $65K/yr

Omnicom Health Market Access (OHMA) is seeking a Data Engineer, Analytics to join the recently ... days are directed by their agency or manager. Our objective is to increase this requirement ...

Associate Director, Data Engineering

New York, NY · Hybrid

$64K - $65K/yr

Omnicom Health Market Access (OHMA) is seeking a Data Engineer, Analytics to join the recently ... days are directed by their agency or manager. Our objective is to increase this requirement ...

Director, Data Insights

New York, NY · On-site

$125K - $191K/yr

The Director, Data & Insights owns the analytics portfolio (KPI roadmap, "official reporting ... Central IT remains responsible for platform engineering and operations (Databricks and on-prem ...

Data Engineer

Manhattan, NY · Remote

$70 - $80/hr

Work with data that maps customer/donor journeys -- email, SMS, direct mail, and call outreach ... engineering experience * Must have recent experience in the nonprofit industry * Strong, solid ...

Data Engineer

Manhattan, NY

$125K - $150K/yr

Under the direction and supervision of the Director, the Data Engineer will: architect, implement, and maintain scalable data pipelines using Apache NiFi for ETL and real-time data integration ...

Showing results 21-40

Director Data Engineer information

See Elizabeth, NJ salary details

$51.8K

$148.4K

$198.3K

How much do director data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for director data engineer in Elizabeth, NJ is $148,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,500.00 and $197,300.00 per year, depending on experience, location, and employer.

What does a director data engineer do?

A Director Data Engineer leads teams responsible for designing, building, and maintaining large-scale data architectures and infrastructure within an organization. They oversee data engineering projects, establish data management best practices, and ensure data systems are scalable, secure, and reliable. Additionally, they collaborate with other departments, such as analytics and IT, to align data strategies with business goals while mentoring and managing junior engineers.

What are the key skills and qualifications needed to thrive as a director data engineer, and why are they important?

To thrive as a Director Data Engineer, you need advanced expertise in data architecture, data modeling, and large-scale data processing, typically backed by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), big data tools (like Hadoop, Spark), and relevant certifications (e.g., Google Cloud Certified - Professional Data Engineer) is critical. Strong leadership, strategic thinking, and effective communication skills set top performers apart in this role. These abilities are vital for designing robust data solutions, leading high-performing teams, and aligning data initiatives with organizational goals.

How does a director data engineer typically collaborate with other departments to drive business objectives?

A Director Data Engineer works closely with cross-functional teams such as product management, analytics, and IT to align data infrastructure and engineering strategies with overall business goals. They facilitate communication between data engineering teams and key stakeholders, ensuring that data solutions address real business needs and support decision-making. This role often involves leading meetings, prioritizing projects based on cross-departmental feedback, and translating technical requirements into actionable plans for their teams. Effective collaboration is essential for delivering scalable, high-impact data solutions across the organization.

How much does a director data engineer make in the US?

A director data engineer in the US typically earns between $130,000 and $180,000 annually, with salaries varying based on experience, location, and company size. They often oversee data teams, manage large-scale data infrastructure, and require expertise in tools like SQL, Python, and cloud platforms.

What are the most commonly searched types of Data Engineer jobs in Elizabeth, NJ?

The most popular types of Data Engineer jobs in Elizabeth, NJ are:

What are popular job titles related to Director Data Engineer jobs in Elizabeth, NJ?

For Director Data Engineer jobs in Elizabeth, NJ, the most frequently searched job titles are:

What job categories do people searching Director Data Engineer jobs in Elizabeth, NJ look for?

The top searched job categories for Director Data Engineer jobs in Elizabeth, NJ are:

What cities near Elizabeth, NJ are hiring for Director Data Engineer jobs?

Cities near Elizabeth, NJ with the most Director Data Engineer job openings:

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

Prudential Financial, Inc.

Newark, NJ • On-site

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Prudential rating

8.7

Company rating: 8.7 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

70th of 311 rated insurance


Job description

Job Classification:
Technology - Engineering & Cloud
What you will do
As the Director, Data Lead for the PGIM Product Technology, you will engage in requirements gathering, lead design, architect and partner with business owners, technology leads and engineering teams to support shift to Microsoft cloud platforms for data processing and management. This candidate will work to define and enforce standards while also overseeing end-to-end data engineering including sourcing, modeling, security, governance, and business intelligence functions. You will design and lead engineers to implement solutions in accordance with industry best practices. Your expertise in data processing and data analytics using the Microsoft Fabric platform will be crucial in delivering successful data solutions. The candidate will play a key role to bridge solutions, communication, timelines, and challenges/solutions to project stakeholders for multiple, concurrent overlapping implementation initiatives.
This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis 3 days per week.
What you can expect:
  • Design and Implement Configurable Data Ingestion ETL framework including Data Quality, transformation and modelling. Implement Lakehouse solutions using Microsoft Fabric and paving the road to PGIM future state using Azure services and Fabric Infrastructure.
  • Develop and deploy data integration solutions, including data ingestion, transformation, and delivery to consumers within Microsoft Fabric, while utilizing optimal storage formats and layers.
  • Work with Infrastructure/Devops teams to come up with CI/CD pipelines as a framework that can be extended across organization.
  • Architect solutions that incorporate BI tools like Power BI ensuring seamless data integration for analytics and reporting.
  • Ensure data accuracy, consistency, and integrity across the data warehouse ecosystem by crafting robust solution designs.
  • Design and Build AI solutions leveraging search, embeddings, retrieval, ranking and Retrieval-Augmented Generation (RAG).
  • Set up roadmap for AI as a service to consuming systems and business stakeholders.
  • Establish a workspace architecture strategy through design and implement of data warehouse and lakehouse solutions allowing data sharing between different teams avoiding duplication, yet adhering to security and governance rules.
  • Lead a small team to design/build and monitor data and AI solutions.
  • Ensure teams follow best practices and standards for security, compliance, scalability, reliability, and performance.
  • Serve as SME in the Fabric space to technology partners, provide hands on training to development teams, and mentor business areas to maximize Fabric AI Capabilities.
  • Create and maintain comprehensive documentation (Playbooks) of solution architectures to internal and external stakeholders covering Data Fabric architecture, processes, and procedures.
  • Collaborate closely with our business and technology partners including data analysts, architects, engineers, and client stakeholders to gather requirements and translate them into scalable Microsoft Fabric solutions.
  • Proactively seek out new knowledge and adapt to new trends, technical solutions, and patterns that improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale, and share knowledge with other engineers.

What you will bring:
  • Bachelor's or Master's degree in Computer Science, Data Engineering or related discipline.
  • 10+ years of experience in cloud computing with Microsoft Azure leading migrations, integrations, and deployments. 10+ years of experience as a Data Architect, with demonstrated expertise in designing, managing, and deploying client solutions.
  • Strong knowledge of Azure services and features including Azure Synapse Analytics, Azure Data Factory, Azure Storage Accounts, Azure Logic Apps, Azure Functions, Azure SQL Database, Azure Active Directory, Azure DevOps, Azure Monitor, etc.
  • Strong knowledge of Fabric workloads and features including Notebooks, Deployment Pipelines, Workspace architecture, Workspace Security, Data Warehouse/Lakehouse Architecture, Semantic Model, Data Factor, Data Flow, Data Activator, AI Skills, and Copilot, ultimately leading to AI capabilities in Power BI.
  • Build and deploy intelligent applications using Azure AI Foundry, leveraging prompt orchestration, grounding with Azure AI Search, and agent orchestration features for enterprise-scale GenAI use cases. Independently implement GenAI workflows using Foundry.
  • Proficient in CI/CD pipelines to deploy in azure environment using GitHub Actions.
  • Proven ability to implement data governance tools (Purview preferred), data security (OneLake Security preferred), and compliance requirements like data retention schedules and audit.
  • Specific experience in .Net architecture, design, and development using Azure platform services. Must have the proven ability of delivering multiple concurrent, overlapping projects in a fast paced technology team on-time, on budget and within scope.
  • Experience in leading technical teams to drive business outcomes.
  • Financial Services experience working with Asset Management esp on Institutional funds and Mutual funds preferred.
  • Must come to this position with superior communication, collaboration, and problem-solving skills capable of conveying technical concepts to both technical and non-technical stakeholders.
  • Microsoft certifications in data-related fields are preferred, such as Azure Solutions Architect Expert, Azure Developer Associate, Azure Administrator Associate, Azure Data Engineer, Fabric Engineer, Power BI Data Ana

*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 $170,000 to $225,000. 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 Programsincluding 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.

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