> Markdown version of [/jobs/ext/3881132-aws-cloud-engineer](https://www.wearedevelopers.com/jobs/ext/3881132-aws-cloud-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 Cloud Engineer

- **Company:** Mindlance
- **Location:** Fairfax County, VA, United States
- **Experience:** Experienced
- **Contract:** Temporary to permanent
- **Skills:** Agile Methodology, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Cloud Database, Cloud Engineering, Information Engineering, Data Integration, Extract Transform Load (ETL), Relational Databases, Linux, Elasticsearch, Identity and Access Management, Python (Programming Language), NoSQL, Logstash, Shell Script, Amazon Simple Notification Service (SNS), SQL Databases, Workflow Management Systems, Apache Spark, Software Troubleshooting, Amazon Virtual Private Cloud (VPC), Git, Amazon Relational Database Service, Pyspark, Information Technology, Deployment Automation, Qlikview, AWS Data Analytics, Cloudwatch, Kibana, Auto-Sys, Amazon Simple Queue Service (SQS), Software Version Control, Data Pipelines, Elk Stack, Control M
- **Published:** October 23, 2026
- **Apply:** https://www.dice.com/job-detail/0ff3e60b-1bad-4d92-b237-9f0d66e7969b

## About the Role

* Hands-on experience developing and supporting cloud-based data pipelines and applications on AWS
 * Hands-on experience with AWS services including S3, Glue, EMR, Lambda, Step Functions, CloudWatch, CloudTrail, SNS, SQS, EC2, VPC, RDS, and IAM
 * Proficiency in Python and/or PySpark/Spark
 * Experience with ETL and Data Integration tools such as Qlik , IICS, and IDMC
 * Experience with SQL, relational databases, and NoSQL databases
 * Experience with Linux and shell scripting
 * Experience with scheduling/orchestration tools such as Control-M or Auto-Sys
 * Experience with monitoring and troubleshooting using CloudWatch and/or the ELK Stack: Elasticsearch, Logstash, Kibana, and Beats
 * Familiarity with CI/CD practices, Git/version control, and automated deployment processes
 * Working knowledge of Agile software development methodologies, processes, and practices
 * Strong troubleshooting and problem-solving skills across AWS infrastructure, applications, and data pipelines, * Bachelor s degree in Computer Science, Information Technology, or equivalent work experience required
 * 2 4 years of hands-on experience in AWS/cloud engineering, data engineering, or related development roles
 * Hands-on experience building, developing, implementing, and supporting AWS data pipelines
 * Strong analytical, troubleshooting, and problem-solving skills
 * AWS Associate-level certification such as AWS Certified Developer or Solutions Architect is a plus