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# Data Engineer

- **Company:** Spectraforce
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Information Engineering, Data Infrastructure, Python (Programming Language), Machine Learning, Performance Tuning, Standard Sql, SQL Databases, Unstructured Data, Data Processing, Large Language Models, Snowflake, Information Technology, Machine Learning Operations, Virtual Agents, GPT, Data Pipelines
- **Published:** June 12, 2026
- **Apply:** http://leoforce.us/Careers/Spectraforce/JobDetails.html?jobid=20b04b84-4505-4de7-a09a-a07b2ce4b682&OrgId=1&UserId=3211

## About the Role

* Agentic AI: LangGraph, LangChain, MCP, Agent-to-Agent (A2A) patterns
 * LLMs: OpenAI (GPT-4/4.1), Anthropic

Minimum Education Required: BS or MS Computer Science or related fields.

## Description

We are seeking an Data Engineer to data pipelines. The role focuses on finance data, RAG-based architectures, hallucination mitigation, and agentic AI systems deployed at scale.
You will work closely with Product, Data, and Platform teams to deliver reliable, explainable, and production-ready AI solutions., * Strong Data Engineering experience building scalable data pipelines using Python and modern data platforms

 * Advanced Python skills for data processing, automation, AI/ML workflows, and pipeline development
 * Strong SQL and DBT expertise for data modeling, transformation, and analytics engineering
 * Hands-on experience in AI/ML model development, deployment, monitoring, and performance optimization
 * Work with finance and enterprise datasets ensuring accuracy and governance
 * Experience in Agent-to-Agent (A2A) architectures.

Technologies & Skills:

 * Python, SQL, DBT
 * Data: Snowflake, DBT, structured & unstructured data pipelines
 * Cloud: AWS (Code Pipeline - S3, EC2, ECS, Lambda etc)


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