Job Requirements
Tysons Corner, VA Aurora, CO
Top Secret/SCI CI Polygraph
Early Career (2+ yrs experience)
Salary not specified
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Job Description
As a Sr. Data Engineer I, 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. 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:
• Active TS/SCI with CI poly 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. 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
• 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:
• Active TS/SCI with CI poly 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. 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
group id: 91074203