Senior Databricks / Data Engineer
United States
About XCIS AI
XCIS AI is a nuclear-focused data and AI consulting firm supporting plant operations, work management, data modernization, automation, and governed AI in highly regulated environments. We work at the intersection of nuclear operations, enterprise data platforms, AI-enabled decision support, and workflow modernization.
Work Authorization / Regulatory Note
Applicants must be authorized to work in the United States. Certain roles may require eligibility to support customer, export-control, security, or regulatory requirements.
Location
U.S.-based. Remote / hybrid, with periodic travel to customer or project locations as required.
We are looking for a Senior Databricks / Data Engineer to lead data engineering and lakehouse implementation for AI-enabled nuclear work management and operations use cases. This role will own data preparation, transformation, feature engineering, and retrieval-ready dataset development across structured and unstructured enterprise sources.
Key Responsibilities
• Design and build scalable Databricks-based data pipelines and curated lakehouse layers
• Prepare structured and unstructured datasets for AI, retrieval, analytics, and workflow applications
• Lead data wrangling, profiling, normalization, enrichment, and transformation across operational data sources
• Build Bronze / Silver / Gold data models using Databricks and Delta Lake
• Support feature engineering for AI classification, prioritization, similarity, and retrieval use cases
• Implement data quality checks, lineage, logging, and monitoring controls
• Work with application, AI, and business teams to define data requirements and delivery priorities
• Support pilot data readiness, refresh patterns, and production-aligned scalability
Required Qualifications
• 5+ years in data engineering, data platform, or analytics engineering roles
• Strong hands-on experience with Databricks, Delta Lake, and Spark / PySpark
• Experience building cloud-based data pipelines in Azure
• Strong SQL and Python skills
• Experience working with enterprise operational data and heterogeneous source systems
• Experience with data modeling, data quality controls, and production support
• Ability to work directly with technical and non-technical stakeholders
Preferred Qualifications
• Experience with Azure Data Factory, ADLS Gen2, Unity Catalog, MLflow, or Azure DevOps
• Experience with Maximo, asset management, work management, maintenance, or industrial operations data
• Experience in utilities, energy, nuclear, or other regulated industries
• Experience preparing data for RAG, vector search, or AI workflow solutions