Principal Data & Analytics Engineer (Hybrid)

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

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