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# Sr. Cloud Data Engineer

- **Company:** Accenture
- **Location:** United States
- **Experience:** Expert
- **Salary:** $137,300.0 - $165,100.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Bash Shell, Cloud Computing, Cloud Database, Information Engineering, Data Infrastructure, Apache Hadoop, Hadoop Distributed File System, Python (Programming Language), Ansible, Cloudera, Cloud Platform System, Data Ingestion, Cloudformation, Apache Kafka, Apache Nifi, Restful APIs, Terraform, Data Pipelines, Golang
- **Published:** July 10, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9022501/sr-cloud-data-engineer

## About the Role

* 4 years of proven experience in data engineering, with expertise in designing, developing, and maintaining data ingestion, transformation, and loading pipelines and components
 * Demonstrated experience in designing and deploying data pipelines leveraging AWS cloud infrastructure across multiple classification domains (e.g., IL5 to IL6+)
 * Experience with Infrastructure-as-Code (IaC) tools, including Terraform, CloudFormation, or Ansible, to automate deployment of data pipeline cloud infrastructure
 * Understanding of RMF security principles and hands-on experience implementing security controls for data pipelines in cloud environments
 * Strong scripting and programming skills in languages such as Go, Python, and Bash
 * Experience with data pipeline tools and technologies such as Nifi, Hadoop, HDFS, and Kafka.

Nice to have:

 * Experience implementing data pipelines in the Cloudera Data Platform environment is highly preferred.
 * Strong communication skills, with the ability to clearly convey complex technical concepts

Clearance:

 * An active TS/SCI with polygraph is required

## Description

In this role, you will be responsible for building robust, scalable data pipelines while working collaboratively with cross-functional teams to ensure seamless integration, optimized performance, and efficient delivery of solutions.

 * Work with team members to operationalize data pipelines and supporting cloud infrastructure
 * Collaborate with external data producers and consumers to obtain and provide data through interfaces such as REST APIs and S3
 * Provide day-to-day support of deploying Python-native data pipelines and performing data engineering tasks to enable data brokering and exchange capabilities
 * Provide Tier 2/3 troubleshooting and incident resolution support for data pipelines in Production


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