[Remote] Data Engineer
Note: The job is a remote job and is open to candidates in USA. reputed company) is seeking a Data Engineer to build scalable data pipelines and work closely with Product, Data, and Platform teams. The role focuses on finance data, RAG-based architectures, and deploying AI solutions at scale.
Responsibilities
- 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
Skills
- 3 to 5 years' experience
- Minimum Education Required: BS or MS Computer Science or reputed company fields
- 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
- Python Programming is must
- reputed company required
- Top Skills: Python, SQL, AWS, DBT
- Finance Background is a plus (Who has Finance Data experience from SQL perspective)
- AI/ML is reputed company to have (LLM, RAG, LangGraph, reputed company, AI)
- Good to have: Agentic AI: LangGraph, reputed company, MCP, Agent-to-Agent (A2A) patterns
- LLMs: reputed company (GPT-4/4.1), reputed company
Benefits
- W2 option
Company Overview