> Markdown version of [/jobs/ext/2735957-aws-data-engineer](https://www.wearedevelopers.com/jobs/ext/2735957-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:** Spectraforce
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Agile Methodology, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Business Analytics Applications, Build Automation, Business Software, Cloud Computing Security, Cloud Database, Cloud Engineering, Code Review, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Systems, DevOps, Electronic Data Interchange (EDI), Github, Python (Programming Language), Cloud Services, TypeScript, Data Logging, Data Processing, Data Ingestion, AWS Lambda, Data Lakes, AWS Glue, Enterprise Integration, AWS Data Analytics, Restful APIs, Data Pipelines, Api Management, Atlassian Bamboo
- **Published:** September 5, 2026
- **Apply:** http://leoforce.us/Careers/Spectraforce/JobDetails.html?jobid=4a820d42-9476-45a5-a6fb-4caded34000b&OrgId=1&UserId=4959

## About the Role

* Strong hands-on experience with AWS cloud services, including:

 * AWS Glue
 * AWS Lambda
 * Amazon EC2
 * Amazon S3

 * Experience building and orchestrating data pipelines in AWS environments.
 * Proficiency in Python development.
 * Experience with REST API development and integration.
 * Working knowledge of TypeScript.
 * Experience with CI/CD tools such as GitHub and Bamboo.
 * Understanding of data engineering, ETL/ELT processes, and cloud-based data architectures.

Preferred Qualifications

 * Experience with modern data lake or analytics platforms.
 * Familiarity with Agile development methodologies.
 * Knowledge of monitoring, logging, and cloud security best practices.
 * Experience working in large-scale enterprise environments., * 8+ years of experience in Data Engineering or Cloud Engineering.
 * 5+ years of hands-on experience with AWS-based data solutions.

## Description

We are seeking a skilled AWS Data Engineer with strong experience in designing, developing, and maintaining cloud-based data integration solutions. The ideal candidate will have hands-on expertise in AWS services, data pipeline development, API integrations, and CI/CD practices. This role will work closely with data architecture, analytics, and application teams to build scalable and reliable data solutions in a cloud environment., * Design, develop, and maintain end-to-end data pipelines using AWS services.

 * Implement data ingestion, transformation, and orchestration workflows to move data from source systems to target platforms.
 * Utilize AWS services such as S3, Glue, Lambda, and EC2 to build scalable data processing solutions.
 * Develop and integrate REST APIs to support data exchange and business applications.
 * Build automation solutions using Python and TypeScript.
 * Collaborate with cross-functional teams to understand data requirements and implement high-quality solutions.
 * Implement CI/CD pipelines and DevOps best practices using tools such as GitHub and Bamboo.
 * Monitor, troubleshoot, and optimize data workflows to ensure performance, reliability, and scalability.
 * Participate in code reviews, testing, deployment, and production support activities.


## Related Videos

- [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)
- [How we built an AI-powered code reviewer in 80 hours](https://www.wearedevelopers.com/videos/1511-how-we-built-an-ai-powered-code-reviewer-in-80-hours)
- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next)
- [Tips, Techniques, and Common Pitfalls Debugging Kafka](https://www.wearedevelopers.com/videos/838-tips-techniques-and-common-pitfalls-debugging-kafka)
- [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment)

## Related Articles

- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [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)
- [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 Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)
- [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)