Sr. Cloud Data Engineer
@ Accenture Federal ServicesSr. Cloud Data Engineer
This job is still taking applications, but it's been up a while.
About the job
Accenture Federal Services helps the US government enhance operations and safety. We seek a Sr. Cloud Data Engineer to develop data pipelines, support cloud infrastructure, and ensure secure data exchange aligned with federal security standards.
Requirements
- 4+ years data engineering experience
- AWS cloud infrastructure expertise
- Proficient in Python, Go, Bash
- Experience with data tools like Kafka, Hadoop
- IaC tools: Terraform, CloudFormation
Qualifications
- Active TS/SCI with polygraph
- Experience in secure government cloud environments
- Strong scripting skills
- Knowledge of security controls and RMF
- Excellent communication skills
Full job description
As a Sr. Cloud Data Engineer, you’ll work with team members to build, deploy, and operate data pipelines and data engineering components to enable data brokering and exchange capabilities across a diverse range of producers and consumers.
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
What you’ll need to succeed:
- 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
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#LI-DataAI
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
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