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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & AI Engineer - **Company:** ONE STOP COLLECTIBLE CORP - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Application Integration Architecture, Application Performance Management, Automation of Tests, Code Review, Continuous Integration, Information Engineering, Distributed Computing Environment, Python (Programming Language), Machine Learning, MongoDB, MySQL, Recommender Systems, Software Engineering, SQL Databases, Systems Integration, Data Processing, Data Ingestion, Database Optimization, Apache Spark, Spring-boot, Model Validation, Generative AI, Backend, Build Management, Containerization, Data Lakes, Infrastructure Automation Frameworks, AWS Data Analytics, Data Pipelines, Automation Anywhere - **Published:** September 25, 2026 - **Apply:** https://startup.jobs/data-ai-engineer-aws-java-python-homepage-334-10188600 ## About the Role * 5+ years of production software or data engineering experience, with strong Java/Spring Boot and AWS experience. * Strong Java, SQL, data modeling, and database optimization skills, including MySQL and MongoDB. * Proficiency in Python for data processing, AI workflows, and automation. * Hands-on AWS data engineering experience with S3 and distributed processing technologies such as EMR, Glue, or Spark. * Experience building AI/ML applications using technologies such as Amazon Bedrock and SageMaker, including generative AI, RAG, embeddings, and model evaluation. * Experience designing reliable data pipelines, including incremental processing, schema evolution, reconciliation, and failure recovery. * Strong understanding of AWS infrastructure, messaging, security, monitoring, and containerized applications. * Experience with automated testing, CI/CD, infrastructure as code, and production monitoring. * Strong engineering judgment, communication, troubleshooting skills, and effective use of AI-assisted development tools. Nice to have: Experience with OpenSearch, streaming/CDC technologies, advanced data lake architectures, predictive ML/recommendation systems, and restaurant technology, payments, loyalty, or POS integrations. ## Description We are seeking a Data & AI Engineer to build and operate data platforms and AI-powered applications on AWS. You will combine strong Java backend engineering, practical Python skills, and experience with AWS data and AI services to deliver reliable analytics, intelligent automation, and personalized guest experiences. Our existing environment includes Java and Spring Boot services, large-scale MySQL and MongoDB stores, integrations with partner POS and payment systems, and a Hive data lake on Amazon EMR. You will strengthen this foundation and help extend it using AWS services for data processing, predictive analytics, and generative AI. This is a hands-on engineering role with ownership across data ingestion, modeling, application development, AI integration, deployment, and production operations. Potential AI use cases include guest segmentation, churn prediction, personalized recommendations, automated business insights, and natural-language access to restaurant performance data., * Design and build scalable AWS-based data, backend, and AI solutions with a focus on reliability, security, performance, and cost. * Develop Java/Spring Boot services, APIs, data models, and integrations across MySQL, MongoDB, and third-party platforms. * Build and maintain reliable data ingestion and processing pipelines for transaction, guest, ordering, loyalty, and payment data. * Develop and modernize the AWS data platform using services including S3, EMR, Spark, Glue, and Athena. * Create trusted, reusable datasets and data models for analytics, customer intelligence, and AI/ML applications. * Build generative AI and RAG applications using Amazon Bedrock, OpenSearch, and related technologies. * Support predictive ML use cases including churn, recommendations, and segmentation. * Establish testing, monitoring, and evaluation for data pipelines, AI quality, application performance, and production reliability. * Ensure strong security, privacy, tenant isolation, and governance of customer and guest data. * Maintain engineering quality through CI/CD, infrastructure as code, automated testing, code reviews, and documentation. ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs](https://www.wearedevelopers.com/videos/208-40-minutes-to-build-a-serverless-covid-19-rest-and-graphql-apis) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)