> Markdown version of [/jobs/ext/2272868-aws-data-engineer](https://www.wearedevelopers.com/jobs/ext/2272868-aws-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS Data Engineer - **Company:** Lares IT Solutions Inc. - **Location:** Nashville, TN, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Cloudfront, Amazon S3, Cloud Computing, Cloud Computing Security, Continuous Integration, Information Engineering, Data Governance, Extract Transform Load (ETL), Dataspaces, Distributed Systems, Domain Name System (DNS), Amazon DynamoDB, Github, Identity and Access Management, Python (Programming Language), Key Management, Machine Learning, NoSQL, Performance Tuning, Azure Machine Learning, Search Technologies, Systems Integration, Unstructured Data, Web Applications, Data Processing, Chatbots, Retrieval-Augmented Generation, Delivery Pipeline, Large Language Models, Generative AI, Indexer, Backend, AWS ECS, Containerization, Information Technology, AWS Fargate, AWS Data Analytics, Operational Systems, Machine Learning Operations, Route53, Cloudwatch, Api Gateway, Data Pipelines, Docker, Jenkins - **Published:** August 27, 2026 - **Apply:** https://www.dice.com/job-detail/cee8bbb3-1430-41b0-b335-9009291e2b44 ## About the Role * 7-12 years of total IT experience, including strong hands-on experience as an AWS Data Engineer. * Expert-level proficiency with AWS services: * ECS, ECR * S3, Glue, Lambda, Step Functions * API Gateway, CloudFront * DynamoDB, Cognito * Route 53, CloudWatch * Secrets Manager * AWS OpenSearch (including vector search capabilities) * Solid experience designing and operating containerized workloads using Docker + ECS/Fargate. Strong Python skills for building data pipelines, automation, and backend integrations. Experience integrating and implementing Generative AI solutions using: * Amazon Bedrock, Bedrock AgentCore * LLM orchestration tools (LangChain, LlamaIndex) * RAG architectures * Embeddings and vector search Deep understanding of data modeling, distributed systems, partitioning, performance optimization, and streaming/batch data processing. Prior experience deploying and managing static web applications on AWS (S3 + CloudFront + Route 53). Familiarity with CI/CD pipelines using CodePipeline, GitHub Actions, or Jenkins. Strong understanding of IAM policies, roles, cross-account access, and cloud security best practices. Excellent communication and cross-team collaboration skills., * Bachelor's degree in Computer Science, Engineering, or related field (Required) * Master's degree in Data Engineering, Cloud Computing, or AI (Preferred) * AWS Certifications such as: * AWS Certified Data Engineer - Associate * AWS Certified Solutions Architect * AWS Machine Learning Specialty Experience with AI/ML model deployment using SageMaker or Bedrock Agents ## Description * Design, build, and maintain scalable data pipelines on AWS using services such as S3, Glue, Lambda, Step Functions * Develop and optimize ETL/ELT workflows, ensuring high data quality, consistency, and availability across analytical and operational systems. * Work extensively with AWS ECS/ECR to containerize, orchestrate, and deploy data processing and ML/GenAI workloads. * Build secure and scalable APIs using API Gateway, Lambda, and container-based services for consumption by internal and external applications. * Architect and manage NoSQL workloads on DynamoDB, including partitions, performance tuning, and data modeling. * Implement secure authentication and authorization mechanisms using AWS Cognito. * Configure and manage Route 53, DNS routing, SSL certificates, and integrations for multi-service distributed systems. * Utilize CloudWatch Logs and Metrics for monitoring, troubleshooting, performance tuning, and building automated alerts. * Implement AWS Secrets Manager for secure credential and key management across the data ecosystem. * Design, manage, and optimize AWS OpenSearch clusters for indexing and querying structured and unstructured data. * Deploy and manage static websites using S3, CloudFront, Route 53, and related AWS services. * Integrate Generative AI capabilities into data workflows using Amazon Bedrock, AgentCore, custom LLMs, and embeddings. * Build RAG (Retrieval-Augmented Generation) pipelines leveraging vector databases (e.g., OpenSearch vector engine) to enhance AI-driven search and automation. * Develop data-driven solutions powering chatbots, summarization tools, document processing pipelines, and enterprise AI applications. * Collaborate closely with data scientists, ML engineers, and application developers to bring AI/ML and GenAI features into production. * Ensure compliance with data governance, security, CI/CD, and MLOps best practices across all environments. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)