IT Engineer Principal I -Data & Analytics

PSEG; Town of Newark (WI); Hybrid; USD 108,000 - 170,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401(k) with company match

Life insurance

Tuition reimbursement

Generous paid time off

Job summary

PSEG is seeking an IT Engineer Principal I - Data & Analytics in Wisconsin to lead the design, building, and optimization of data pipelines and curated datasets. You will collaborate with analysts, data scientists, and business users to ensure reliable, high-quality data solutions across the enterprise.

The role focuses on production support, documentation, and alignment with enterprise standards. A strong background in data warehousing, data modeling, and cloud analytics is required, with

Qualifications

• Bachelor’s degree in Computer Science or a related technical field.
• 6-8 years of experience delivering technology solutions, preferably in data engineering, analytics engineering, or data integration.
• Demonstrated leadership through ownership of technical solutions or project components.
• Experience documenting technical solutions, data flows, and system behavior.
• Foundational knowledge of data management practices and familiarity with data warehouse and data lake architecture.
• Strong ability to design, build, and manage data pipelines including transformations, data modeling, metadata, and workload management.
• Experience with AWS and/or Microsoft analytics platforms and related data services.

Responsibilities

• Analyze business and end user requirements and design, configure, develop, and test the data pipelines, transformations, and data models needed for reporting, analytics, and operational use cases.
• Create, maintain, and optimize data pipelines as workloads move from development into production, ensuring they perform reliably and efficiently.
• Develop and maintain documentation such as data flow diagrams, technical specifications, and process descriptions to support understanding, maintainability, and knowledge transfer.
• Work closely with business analysts, BI developers, data scientists, and other data consumers to refine data needs and ensure solution outputs meet functional expectations.
• Coordinate with enterprise architects, cloud and infrastructure teams, software development teams, and cybersecurity to ensure data engineering solutions align with enterprise standards and integrate appropriately with other technology areas.
• Participate in design reviews and change reviews, offering input to help ensure quality, consistency, and conformance with established engineering practices.
• Provide support for production data pipelines and analytics systems, including troubleshooting issues, implementing fixes, performing proactive maintenance, and conducting root cause analysis as needed.
• Assist with controlled deployments, upgrades, updates, and enhancements following standard change management processes and ensuring readiness for production.
• Review existing tools, platforms, and processes to evaluate performance, scalability, and alignment with business needs, making recommendations for improvements when appropriate.
• Contribute to ongoing data management practices, including metadata management, data quality checks, governance adherence, and structured documentation.
• Support continuous improvement of engineering methods, coding standards, automation opportunities, and collaboration practices that strengthen the data engineering discipline.

Skills

Leadership

Documentation

Technical ownership

Education

Bachelor’s degree in Computer Science or related field

Tools

AWS

Microsoft analytics platforms

Job description

Requisition: 84336 PSEG Company: PSEG Services Corp. Salary Range: $ 107,600 - $ 170,300 Work Location Category: Hybrid We're one of the country's largest energy companies, with a vision of powering a future where people use energy more efficiently and it's safer and delivered more reliably than ever. We're also deeply connected to the communities we serve, with more than 13,000 employees working together to support our customers and make a difference every day. Here, you'll have the stability and exciting opportunities that come with being a Fortune 500 company - along with a supportive, friendly work environment where your contributions are valued.

We offer a flexible work environment designed to balance employee needs with collaboration and operational excellence. Roles fall into two categories:

• Onsite: Employees work onsite daily.
• Hybrid: A blend of remote and onsite work, with at least three onsite days per week required.

As an employee, if you are regularly scheduled to work 20 or more hours per week, you will have access to a wide range of comprehensive benefits from day one, designed to support your total well-being:

• medical
• dental
• vision
• parental leave and family leave programs
• behavioral health programs
• 401(k) with company match
• life insurance
• tuition reimbursement
• generous paid time off

More than 13,000 people already call PSEG their work home, taking pride in providing safe, reliable service to millions of customers. If you're looking for a place where you can build a meaningful career and help power and support our communities, we'd love to welcome you to the team.

PSEG is not offering visa sponsorship for this position.

Job Summary

The IT Engineer Principal I - Data & Analytics plays a key role in delivering and maintaining the data assets required for enterprise reporting, analytics, automation, and AI initiatives. The role focuses on designing, building, optimizing, and supporting data pipelines, curated datasets, and related data engineering components that serve analysts, data scientists, and business users across the company. This engineer participates in design, development, testing, deployment, and production support of data solutions, working closely with business analysts, product managers, and technical partners to ensure reliability, quality, and consistent delivery.

Job Responsibilities

• Analyze business and end user requirements and design, configure, develop, and test the data pipelines, transformations, and data models needed for reporting, analytics, and operational use cases.
• Create, maintain, and optimize data pipelines as workloads move from development into production, ensuring they perform reliably and efficiently.
• Develop and maintain documentation such as data flow diagrams, technical specifications, and process descriptions to support understanding, maintainability, and knowledge transfer.
• Work closely with business analysts, BI developers, data scientists, and other data consumers to refine data needs and ensure solution outputs meet functional expectations.
• Coordinate with enterprise architects, cloud and infrastructure teams, software development teams, and cybersecurity to ensure data engineering solutions align with enterprise standards and integrate appropriately with other technology areas.
• Participate in design reviews and change reviews, offering input to help ensure quality, consistency, and conformance with established engineering practices.
• Provide support for production data pipelines and analytics systems, including troubleshooting issues, implementing fixes, performing proactive maintenance, and conducting root cause analysis as needed.
• Assist with controlled deployments, upgrades, updates, and enhancements following standard change management processes and ensuring readiness for production.
• Review existing tools, platforms, and processes to evaluate performance, scalability, and alignment with business needs, making recommendations for improvements when appropriate.
• Contribute to ongoing data management practices, including metadata management, data quality checks, governance adherence, and structured documentation.
• Support continuous improvement of engineering methods, coding standards, automation opportunities, and collaboration practices that strengthen the data engineering discipline.

Job Specific Qualifications

• Bachelor’s degree in Computer Science or a related technical field.
• 6-8 years of experience delivering technology solutions, preferably with a focus on data engineering, analytics engineering, or data integration.
• Demonstrated leadership through ownership of technical solutions or project components.
• Experience documenting technical solutions, data flows, and system behavior.
• Foundational knowledge of data management practices and familiarity with data warehouse and data lake architecture.
• Strong ability to design, build, and manage data pipelines including transformations, data modeling, metadata, and workload management.
• Experience with AWS and/or Microsoft analytics platforms and related data services.
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