Junior Data EngineerCSA Group, Architects and Engineers • San Juan, New Mexico, United States
Junior Data Engineer
CSA Group, Architects and Engineers
- San Juan, New Mexico, United States
- San Juan, New Mexico, United States
About
Our Success For more than 65 years, CSA Group has contributed to developing stronger, more resilient facility and infrastructure solutions. Our experience brings plenty of opportunities for you to expand your skill set, challenge yourself, and make an impact.
Social Commitments One of CSA Group’s most important Guiding Principles is our commitment to contribute to the industries we serve and the communities we live in. This translates into active involvement in a variety of activities and organizations, which provide many opportunities for education and growth for our employees.
Responsibilities Priorities can often change in a fast-paced environment like ours, so this role includes, but is not limited to, the following responsibilities:
Design and implement data models, schemas, and structures optimized for AI/LLM consumption
Design and maintain data models, schemas, and pipelines (ETL/ELT) for structured and unstructured data
Develop and support data architectures within the Microsoft ecosystem (e.g., Fabric, Azure)
Build and manage AI-ready datasets and context layers to support AI agents, Copilot solutions, and LLM workflows
Integrate data sources with APIs and AI frameworks, ensuring data accuracy, relevance, and performance
Collaborate with business stakeholders/SMEs to translate requirements into data models and AI-ready structures
Requirements Essential Skills and Experience:
Bachelor’s degree in Computer Science or related field
1–3 years of experience in a data-focused role or equivalent project portfolio
Experience cleaning, transforming, and structuring datasets (Excel, CSV, JSON, SharePoint, etc.)
Basic knowledge of data pipelines (ETL/ELT)
Working knowledge of Microsoft data tools (SharePoint, Power BI, Microsoft Fabric)
Exposure to unstructured data (documents, PDFs, emails, etc.)
Basic understanding of AI/LLM concepts (prompting, context design, RAG)
Experience with APIs and data integrations
Familiarity with data modeling concepts (e.g., star schema, normalization)
Experience supporting Power BI reporting environments
Understanding of data governance and data quality practices
Curiosity and interest in continuous learning in AI and comfort experimenting and iterating quickly; uses data to validate ideas and measure impact.
Commitment to ethical and responsible AI adoption, including privacy-by-design and safe use of tools.
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Languages
- English
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