Data Engineer
Spectraforce
United States
2 months ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
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
+8 more
Data Processing
Large Language Models
Snowflake
Information Technology
Machine Learning Operations
Virtual Agents
GPT
Data Pipelines
Job 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)
Requirements
- 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.
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