Senior AWS Data Engineer - Java, Python & MCP

STONEGATE TECHNOLOGIES LLC; Charlotte (NC); Hybrid; USD 130,000 - 180,000; Full time

Job summary

STONEGATE TECHNOLOGIES LLC in Charlotte, NC is seeking a hands-on Senior AWS Data Engineer with 8+ years of experience in Java, Python, PySpark, SQL, AWS, and API development. The role is hybrid with two days in the office and focuses on building end-to-end data pipelines and production APIs with MCP/GenAI capabilities.

You will design scalable data workflows using AWS Glue, Athena, and Redshift, develop Java REST APIs with Spring Boot, and integrate MCP servers and GenAI tools.

Qualifications

• 10+ years of hands-on data engineering experience.
• Strong Java, Python, PySpark and SQL skills.
• Experience with AWS data services and MCP/GenAI integration.

Responsibilities

• Design and build scalable data pipelines using AWS Glue, PySpark, Athena, and Redshift.
• Develop complex data transformations with Python, PySpark, and SQL.
• Design and develop Java-based REST APIs, preferably with Spring Boot.
• Integrate APIs, databases, AWS services, and enterprise applications.
• Develop and integrate MCP servers/tools to expose APIs, data, and services to agents.
• Build GenAI solutions using AWS Bedrock, LLMs, tool calling, and agent architectures.
• Implement logging, security, testing, monitoring, and CI/CD in production.

Skills

Java

API development

Python

PySpark

SQL

AWS Glue

Amazon Athena

Amazon Redshift

REST API development

MCP

Tools

Spring Boot

AWS Bedrock

GenAI

Job description

• REST API development

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.