Tech Stack

Description

As a Sr. Cloud Data Engineer at Accenture Federal Services, you will build, deploy, and operate data pipelines and data engineering components to enable data brokering and exchange across a diverse range of producers and consumers. You will work collaboratively with cross-functional teams to ensure seamless integration, optimized performance, and efficient delivery of solutions.

Requirements

• 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.
• An active TS/SCI with polygraph is required.

Responsibilities

• Build 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.