Lead Data Platform Engineer for AI & Analytics

Public Service Company of New Mexico (PNM); Albuquerque (NM); On-site; USD 94,831 - 161,213; Full time

Job summary

Public Service Company of New Mexico (PNM) seeks an IT Data Platform Data Engineer to design, build, and maintain enterprise-scale data pipelines. The role partners with IT leadership to enable advanced analytics and AI initiatives with robust data integration and timely access to high-quality data.

Responsibilities include data modeling, cloud/on-prem architectures, and governance. You will mentor engineers, drive standards, and ensure security and regulatory compliance across the data platform.

Qualifications

• Bachelor's degree in CS/IS/Engineering with 7–9 years of data engineering, data integration, or analytics platform experience.
• Masters degree or specialized certifications are preferred.
• Proficiency in SQL, Python, data modeling, and data integration tools is required.

Responsibilities

• Lead design, build, and maintenance of automated data pipelines for diverse data sources.
• Architect and oversee ETL/ELT workflows and orchestration for reliability and performance.
• Ensure data quality, governance, and security across enterprise data platforms.
• Mentor junior engineers and analysts; drive data engineering standards and best practices.

Skills

SQL

Python

Data modeling

Data integration

Education

Bachelor's degree in Computer Science / Information Systems / Engineering

Masters degree or specialized certifications preferred

Tools

ETL/ELT frameworks

Job description

Public Service Company of New Mexico (PNM) seeks an IT Data Platform Data Engineer to design, build, and maintain enterprise-scale data pipelines. The role partners with IT leadership to enable advanced analytics and AI initiatives with robust data integration and timely access to high-quality data.

Responsibilities include data modeling, cloud/on-prem architectures, and governance. You will mentor engineers, drive standards, and ensure security and regulatory compliance across the data platform.