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# Data Engineer - Analytics & AI

- **Company:** Spectraforce
- **Location:** Los Angeles, CA, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Automated Storage and Retrieval Systems, Big Data, BigQuery, Cloud Computing, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Machine Learning, Performance Tuning, Power BI, Tensorflow, Search Technologies, SQL Databases, Tableau (Software), Visual Analytics, Pytorch, Retrieval-Augmented Generation, Large Language Models, Snowflake, Agentic-AI, Build Management, Scikit Learn, Information Technology, Claude, Google Gemini, GPT, Data Pipelines, Api Management, Amazon Redshift
- **Published:** November 14, 2026
- **Apply:** https://diversityjobs.com/career/18934048/Data-Engineer-Analytics-Ai-California-Los-Angeles

## About the Role

* 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)., * 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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## 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.