{"schemaVersion":"jobsearcher.job.v1","id":"6c599daad9139c2860c6fc07","url":"https://jobsearcher.com/jobs/6c599daad9139c2860c6fc07","canonicalUrl":"https://jobsearcher.com/jobs/6c599daad9139c2860c6fc07","title":"Senior AWS Data Engineer - Java, Python & MCP","description":"Location: Charlotte, NC (Hybrid 2-days in office)Experience: 10+ YearsLong termIn person interview final round- Look or only local candidatesMust have skills: Java, Python, PySpark, API development, and MCP mandatory,Job SummaryWe 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, angularPythonPySpark / Apache SparkAdvanced SQL AWS Glue Amazon Athena Amazon RedshiftAmazon S3 REST API developmentMCP server/tool development AWS Bedrock / GenAl integrationPreferred SkillsAWS Step Functions, Lambda, Lake Formation, IAM, CloudWatch, Docker, Git/Jenkins, RAG, and Al agent development.Ideal Candidate8+ 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.","company":"Stonegate Technologies","rawCompany":"stonegate technologies","city":"Charlotte","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-10-31T07:52:53.334Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior AWS Data Engineer - Java, Python & MCP","description":"Location: Charlotte, NC (Hybrid 2-days in office)Experience: 10+ YearsLong termIn person interview final round- Look or only local candidatesMust have skills: Java, Python, PySpark, API development, and MCP mandatory,Job SummaryWe 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, angularPythonPySpark / Apache SparkAdvanced SQL AWS Glue Amazon Athena Amazon RedshiftAmazon S3 REST API developmentMCP server/tool development AWS Bedrock / GenAl integrationPreferred SkillsAWS Step Functions, Lambda, Lake Formation, IAM, CloudWatch, Docker, Git/Jenkins, RAG, and Al agent development.Ideal Candidate8+ 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.","datePosted":"2026-10-31T07:52:53.334Z","dateModified":"2026-10-31T07:52:53.334Z","hiringOrganization":{"@type":"Organization","name":"Stonegate Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Charlotte","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6c599daad9139c2860c6fc07"},"url":"https://jobsearcher.com/jobs/6c599daad9139c2860c6fc07"}}