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Accenture Federal Services · 2 weeks ago

Sr. Cloud Data Engineer

Tyson's Corner, VA

Full-time

Onsite

Mid, Senior Level

$137K/yr - $165K/yr

4+ years exp

Accenture Federal Services is dedicated to helping the US federal government strengthen the nation and improve lives through technology. As a Sr. Cloud Data Engineer, you will build and operate data pipelines to facilitate data exchange across various producers and consumers, ensuring optimized performance and integration.

ConsultingFinanceInformation TechnologyManagement ConsultingOnline PortalsProfessional Services

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

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

Qualification

Data engineeringAWS cloud infrastructureInfrastructure-as-CodeData pipeline toolsScripting languagesRMF security principlesCloudera Data PlatformCommunication skills

Required

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