Intuition IT – Intuitive Technology Recruitment
Cloud Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Data Engineer in Rockville, MD (Hybrid – 3 days in office) for 8+ years of experience. Pay rate is unspecified. Key skills include PySpark, AWS, and agentic AI. Financial services experience is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
320
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🗓️ - Date
July 24, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Rockville, MD
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🧠 - Skills detailed
#Infrastructure as Code (IaC) #Python #Terraform #PySpark #Kubernetes #AWS (Amazon Web Services) #Docker #SQL (Structured Query Language) #AI (Artificial Intelligence) #Big Data #EC2 #Spark (Apache Spark) #S3 (Amazon Simple Storage Service) #Data Engineering #"ETL (Extract #Transform #Load)" #Langchain #Jenkins #Data Lake #OpenSearch #Cloud #Lambda (AWS Lambda)
Role description
AI & Data Engineer
• Location: Rockville, MD (Hybrid – 3 days in office)
• Experience: 8+ Years
• Interview: Final round in-person
Role Summary
A hands-on role split evenly between (1) Large-Scale Data Engineering (market event pipelines) and (2) GenAI Architecture (building LLM-powered agents, MCP servers, and agentic workflows).
Top Must-Have Skills
1. Big Data & Engineering: Expert PySpark, Python, and complex SQL (window functions, joins, aggregations).
1. AWS Cloud (5+ years): Hands-on with S3, EMR (EC2/EKS), Lambda, Bedrock, and CloudWatch.
1. Agentic AI & GenAI: Real-world experience building tool-using AI agents (LangChain, LangGraph, AWS Strands), RAG architectures, and agent memory management.
Key Responsibilities
• Build and optimize Spark/SQL ETL pipelines over S3 data lakes.
• Architect agentic AI systems (MCP servers, structured output validation, guardrails).
• Establish evaluation frameworks for AI accuracy and context retention.
• Integrate CI/CD (Jenkins), Infrastructure as Code (Terraform), and secure regulatory data handling.
Nice-to-Haves
• Model Context Protocol (MCP) server development
• Vector DBs (OpenSearch, FAISS, Pinecone)
• Docker, Kubernetes (EKS), Terraform
• Financial services or market surveillance experience
AI & Data Engineer
• Location: Rockville, MD (Hybrid – 3 days in office)
• Experience: 8+ Years
• Interview: Final round in-person
Role Summary
A hands-on role split evenly between (1) Large-Scale Data Engineering (market event pipelines) and (2) GenAI Architecture (building LLM-powered agents, MCP servers, and agentic workflows).
Top Must-Have Skills
1. Big Data & Engineering: Expert PySpark, Python, and complex SQL (window functions, joins, aggregations).
1. AWS Cloud (5+ years): Hands-on with S3, EMR (EC2/EKS), Lambda, Bedrock, and CloudWatch.
1. Agentic AI & GenAI: Real-world experience building tool-using AI agents (LangChain, LangGraph, AWS Strands), RAG architectures, and agent memory management.
Key Responsibilities
• Build and optimize Spark/SQL ETL pipelines over S3 data lakes.
• Architect agentic AI systems (MCP servers, structured output validation, guardrails).
• Establish evaluation frameworks for AI accuracy and context retention.
• Integrate CI/CD (Jenkins), Infrastructure as Code (Terraform), and secure regulatory data handling.
Nice-to-Haves
• Model Context Protocol (MCP) server development
• Vector DBs (OpenSearch, FAISS, Pinecone)
• Docker, Kubernetes (EKS), Terraform
• Financial services or market surveillance experience
