Remote Senior Data & AI Engineer: AI-Ready Data Platform

North American Electric Reliability Corporation (NERC)

United States

Hybrid

USD 130,000 - 190,000

Full time

10 days ago

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Job summary

The North American Electric Reliability Corporation (NERC) seeks a Senior Data & AI Engineer to design and build enterprise data architecture that enables trusted analytics and production AI capabilities. You will work across data models, governance, and AI productionization to support reliability and security across the grid.

Responsibilities include building semantic data layers, implementing data quality and lineage, and delivering AI solutions such as RAG pipelines and predictive models,

Qualifications

  • 7+ years of data engineering, data architecture, or ML/AI engineering.
  • Expert SQL and Python.
  • Experience with cloud data platforms and data integration tooling.
  • Practical generative AI experience with production deployment.
  • Knowledge of MLOps/LLMOps practices and tooling.
  • Experience with data governance and metadata management.
  • Strong communication and collaboration skills.

Responsibilities

  • Design and implement enterprise data models and the semantic layer that powers analytics.
  • Build and evolve data pipelines on cloud data platforms with automated quality checks.
  • Develop AI solutions including RAG pipelines, embeddings, and LLM integrations.
  • Implement governance guardrails and data eligibility in code and configurations.

Skills

SQL
Python
Cloud platforms
MLOps/LLMOps
Data governance
Communication

Tools

Microsoft Fabric Dataflow
Databricks
Snowflake
Power BI

Job description

The North American Electric Reliability Corporation (NERC) seeks a Senior Data & AI Engineer to design and build enterprise data architecture that enables trusted analytics and production AI capabilities. You will work across data models, governance, and AI productionization to support reliability and security across the grid.

Responsibilities include building semantic data layers, implementing data quality and lineage, and delivering AI solutions such as RAG pipelines and predictive models,

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