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Data Engineer - Analytics & AI

Spectraforce Technologies
United States, California, Los Angeles
Nov 13, 2026
Role: Data Engineer - Analytics & AI

Location: Complete Remote

Duration: 11 + Months

Job Description

  • Serve as a founding Data Engineer, partnering with internal and cross-functional teams to define analytical product features and requirements.
  • Write and optimize SQL queries to retrieve and analyze large-scale datasets, surfacing actionable business insights.
  • Design and build end-to-end ETL pipelines on cloud infrastructure using Python.
  • Develop interactive dashboards in Tableau to visualize key metrics and support data-driven decision-making.
  • Conduct ad-hoc analysis using SQL and Python to answer business questions and support partner teams.
  • Train and test machine learning models for clustering, prediction, and other analytical use cases.
  • Contribute to AI agent development using MCPs and APIs; test and optimize their performance.
  • Develop RAG-based agents leveraging vector search and knowledge retrieval to support AI-driven insight discovery.


Minimum Qualifications:

  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • 5+ years of hands-on experience with Python programming for building scalable data pipelines and ETL workflows on cloud infrastructure.
  • 5+ years of experience with SQL query writing and performance optimization on large-scale datasets, using modern cloud data warehouse platforms (e.g., Snowflake, BigQuery, Redshift).
  • 5+ years of experience building interactive data visualization dashboards (e.g., Tableau, Power BI, or similar tools).
  • 4+ years of experience building and evaluating machine learning models using common frameworks (e.g., PyTorch, TensorFlow, scikit-learn).


Preferred Qualifications

  • Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • 1+ year of hands-on experience developing GenAI/LLM-powered applications (e.g., GPT, Claude, Gemini), including designing AI agents, RAG pipelines, vector search/retrieval systems, and MCP or API integrations

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