🕷️️ Job Radar • SCRAPING

upwork.com 🟢 2026-05-12

🔹 AI-Driven SEC EDGAR Data Pipeline Engineer
👤 Client: 🇺🇸 USA Member since 2024-10-08
💰 Price: ****
🚩 Problem: Organize and utilize SEC EDGAR datasets within MongoDB using AI-assisted workflows.
📦 Existing: [SEC Datasets], [MongoDB]

Specifications:

[Target] - Organize, structure, index, and analyze SEC EDGAR data for instant search and analysis.
[Method] - Implement AI-powered data pipelines to automate data processing, summarization, and retrieval.
[UI/UX] - Not specified
[Stack] - Python (Pandas, Scikit-learn), MongoDB, TensorFlow/Keras, Flask/Django
[Security] - Ensure data integrity and security during import, transformation, and storage. Implement access controls and encryption.
[Format] - JSON for structured data, CSV for intermediate steps, MongoDB for final storage

Workflow:

1. Assess existing SEC datasets and MongoDB schema.
2. Design AI-assisted data pipeline architecture including ETL processes.
3. Develop and train machine learning models for data summarization and retrieval.
4. Integrate models into the pipeline to automate data processing, indexing, and analysis.
5. Implement real-time search capabilities using MongoDB's query optimization techniques.
6. Test and validate the system’s accuracy and performance.
7. Document processes and provide training for future maintenance.