Jr Data Engineer

Required Skills & Experience

• 5+ years of hands-on data engineering experience
• 3+ years of hands-on AWS experience
• Strong understanding of cloud architecture and concepts
• Hands-on experience with AWS Glue, S3, Athena, and Redshift.
• Experience with APIs and Model Context Protocols (MCPs)
• Python development experience and using Pyspark
• SQL skills
• Apache Kafka experience
• Experience building end-to-end data pipelines
• Strong knowledge of data domains, data modeling, and data analysis
• Experience designing data ingestion, transformation, and delivery workflows
• Ability to clearly explain technical decisions through prior project examples

Nice to Have Skills & Experience

• Exposure to GenAI solutions using AWS Bedrock, LLMs, tool calling, and agent-based architectures.
• Experience with Claude or Codex and prompt engineering
• Experience working with large language models (LLMs)
• Experience with Java-based REST APIs, preferably using Spring Boot.
• FastAPI experience
• Experience with data warehouse architecture
• Financial services industry experience
• AWS Step Functions
• Lambda
• Lake Formation
• IAM
• CloudWatch
• Docker
• Git/Jenkins
• RAG
• AI agent development

Job Description

Insight Global is seeking a Data Engineer for a top financial services client. This individual contributor will help build scalable AI-enabled services that connect enterprise data with large language models. The position is approximately 60% MCP and API development and 40% data engineering, with responsibility for developing Model Context Protocol solutions, APIs, prompts, and cloud-based data pipelines. The ideal candidate combines strong Python, SQL, AWS, Kafka, and data-modeling experience with hands-on knowledge of API development, LLM integration, and prompt engineering. This is an excellent opportunity for an engineer who enjoys owning solutions across data ingestion, transformation, AI integration, and downstream delivery.