Senior AWS Data Engineer - Java, Python & MCP
Location: Charlotte, NC (Hybrid 2-days in office)
Experience: 10+ YearsLong term
In person interview final round- Look or only local candidates Must have skills: Java, Python, PySpark, API development, and MCP mandatory,
Job Summary:
We are looking for a hands-on Senior AWS Data Engineer with strong experience in Java, Python, PySpark, SQL, AWSData Engineering, API development, AWS Bedrock, and Model Context Protocol (MCP).
Key Responsibilities:
Design and develop scalable data pipelines using AWS Glue, PySpark, 53, Athena, and Redshift. Develop complex data transformations and data-quality solutions using Python, PySpark, and SQL Design and develop Java-based REST APIs, preferably using Spring Boot. Build integrations between APIs, databases, AWS services, and enterprise applications. Develop and integrate MCP servers and MCP tools to expose enterprise APIs, data, and services to Al agents. Develop GenAl solutions using AWS Bedrock, LLMs, tool calling, and agent-based architectures. Implement production-grade logging, exception handling, security, testing, monitoring, and CI/CD.Mandatory Skills Java and API development, angular PythonPySpark / Apache Spark Advanced SQL AWS Glue Amazon Athena Amazon Redshift Amazon S3 REST API developmentMCP server/tool development AWS Bedrock / GenAl integration
Preferred Skills:
AWS Step Functions, Lambda, Lake Formation, IAM, CloudWatch, Docker, Git/Jenkins, RAG, and Al agent development.
Ideal Candidate:
8+ years of hands-on engineering experience with a strong combination of AWS data engineering + Java/Python development + REST APIs + MCP/GenAl development. The candidate should be comfortable building end-to-end production solutions rather than having only conceptual knowledge of these technologies.