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# AWS Data Engineer

- **Company:** Flex Ltd.
- **Location:** Herndon, VA, United States
- **Experience:** Experienced
- **Salary:** $127,000 - $132,000
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Microsoft Access, Application Programming Interfaces (APIs), Amazon Web Services, Cloud Computing, Cloud Computing Security, Cloud Database, Continuous Delivery, Continuous Integration, Data Architecture, Data Stores, Data Systems, DevOps, Amazon DynamoDB, Identity and Access Management, Python (Programming Language), Node.Js, Performance Tuning, Software Engineering, Systems Integration, Web Services, Database Optimization, AWS Lambda, Core Api, Infrastructure as Code (IaC), Backend, Git, Event Driven Architecture, Infrastructure Automation Frameworks, Data Analytics, AWS Data Analytics, Cloudwatch, Terraform, Software Version Control, Serverless Computing, Microservices
- **Published:** October 30, 2026
- **Apply:** https://www.careerjet.com/job/register/us5ce6d4c3f90888d54210ac32af67db64

## About the Role

4+ years of hands-on experience architecting, building, and maintaining production-grade, AWS cloud-native solutions.
Proven DynamoDB expertise: Deep experience with DynamoDB data modeling, performance optimization, access patterns, and query design.
Strong AWS core knowledge: Advanced proficiency with AWS IAM, KMS, CloudWatch, and Lambda.
Infrastructure as Code (IaC): Proficient in Terraform (or equivalent IaC frameworks) for cloud automation.
Software Development: Hands-on development experience in Python and/or Node.js.
CI/CD Mastery: Solid experience with Git-based version control and continuous integration/continuous deployment pipelines.
Communication: Excellent verbal and written communication skills with experience documenting technical designs cleanly.
Preferred Qualifications
AWS Certified Data Analytics, AWS Certified Solutions Architect, or AWS Certified Developer certifications.
Prior experience delivering data solutions within federal cloud or government agency environments (GSA, FedRAMP compliance standards).

## Description

Your data architecture will power the core financial infrastructure behind GSA GO.gov-the next-generation Travel & Expense (T&E) platform built to serve civilian federal employees across all government agencies for the next 15 years.
As an AWS Data Engineer, you will design and implement secure cloud-native data stores, serverless components, and event-driven architectures for a large-scale enterprise financial system. You will lead hands-on data modeling, enforce robust cloud security controls, automate infrastructure deployment, and build seamless integrations with core API services.
If you bring deep AWS serverless expertise, hands-on DynamoDB mastery, and a passion for building resilient, high-performance cloud data architectures, this role offers an exceptional platform to make a lasting impact on federal IT modernization.
What you'll do
Design enterprise data stores: Architect and deploy secure, scalable AWS cloud data stores and serverless backend components supporting core financial data operations.
Optimize DynamoDB performance: Develop and refine DynamoDB access patterns, single-table designs, security controls, indexing strategies, and automated backup/recovery capabilities.
Build serverless architectures: Construct event-driven pipelines and microservices leveraging AWS Lambda, CloudWatch, KMS, and IAM.
Automate infrastructure: Author, test, and maintain infrastructure-as-code (IaC) templates using Terraform to drive repeatable and compliant deployments.
Develop software & APIs: Write clean, efficient code in Python or Node.js to connect database solutions with enterprise API services and external integrations.
Drive CI/CD & DevOps standards: Implement and maintain Git-based CI/CD pipelines to streamline automated cloud infrastructure and code deployment workflows.