Senior Data Engineer, AI

🔥 13 hours ago

🏛️ District of Columbia – Remote

🏛️ District of Columbia – Remote

💵 $120k - $150k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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North American Electric Reliability Corporation (NERC)

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1968

⚡ Energy

📋 Compliance

🔒 Cybersecurity

Energy • Compliance • Cybersecurity

North American Electric Reliability Corporation (NERC) is an organization dedicated to ensuring the reliability and security of the North American bulk power system. NERC develops and enforces reliability standards, conducts assessments and analysis of power system performance, and oversees compliance within the electricity sector. Its mission is to effectively manage and reduce risks to the reliability and security of the electric grid across Canada and the United States.

📋 Description

• Design and implement enterprise data models, modeling standards, and the semantic layer for certified analytics and reporting • Implement data catalog, lineage, data classification, and automated data quality testing frameworks • Build and evolve data pipelines and integration patterns on NERC’s cloud data platform • Contribute to secure, governed API and data-sharing patterns • Build and productionize generative AI, RAG, LLM integrations, predictive analytics, and classification solutions • Implement and operate MLOps/LLMOps deployment, evaluation, monitoring, and cost-management practices • Maintain AI platform components including vector stores, orchestration frameworks, and model-serving infrastructure • Prototype AI use cases against governed data • Implement AI governance guardrails aligned with NIST AI RMF and NERC AI governance • Ensure solutions comply with regulatory frameworks, internal controls, and NERC requirements • Communicate technical concepts to technical and non-technical audiences • Document architectures, standards, and operational runbooks • Evaluate tools and vendors and make build-versus-buy recommendations • Partner with business units, Data Engineers, DBAs, the Principal AI Architect, Regional Entities, E-ISAC, FERC, and internal tools

🎯 Requirements

• 7+ years of firsthand experience in data engineering, data architecture, or ML/AI engineering • Expert-level SQL and Python • Experience with cloud data platforms such as Azure, AWS, or GCP • Experience with modern warehouse/lakehouse architectures • Experience with transformation frameworks such as Azure Data Factory or equivalent • Practical generative AI experience with RAG, embeddings, vector stores, prompting, and model evaluation • At least one AI capability shipped to production • Working knowledge of MLOps/LLMOps practices and tooling • Experience with data governance, metadata management, and data quality tooling • Effective communication and interpersonal skills • Ability to work through ambiguity and drive results • Must pass a background check before employment • Must verify identity and eligibility to work in the United States and complete the required employment eligibility verification document upon hire • Preferred: Microsoft Fabric Dataflow • Preferred: experience in regulated industries, energy, utilities, or reliability organizations • Preferred: familiarity with NIST AI RMF or similar risk/governance frameworks • Preferred: experience with Microsoft Fabric, Databricks, Snowflake, Power BI semantic models, master data management, and API-based data sharing

🏖️ Benefits

• Salary range of $120,000–$150,000 annually • Remote work option • Reimbursement of travel expenses in accordance with company travel and expense reimbursement policies • Growth and development opportunities • Safe, inclusive, and collaborative work environment • Well-being support prioritizing collaboration, engagement, and connection