Senior AWS Data Engineer - Java, Python & MCP

Senior AWS Data Engineer - Java, Python & MCP
Location: Charlotte, NC (Hybrid 2-days in office)
Experience: 10+ Years
Long 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, AWS
Data 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
Python
PySpark / Apache Spark
Advanced SQL
* AWS Glue
* Amazon Athena
* Amazon Redshift
Amazon S3
* REST API development
MCP 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.