DevOps Data Engineer | TS/SCI Clearance | Cloud Migration

V2X Inc

McLean (VA)

On-site

USD 140,000 - 190,000

Full time

14 days+
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Job summary

V2X Inc in McLean, VA is seeking a DevOps Engineer with an active TS/SCI with Poly clearance to lead the refactor of data workflows from on-prem to cloud. You will be a hands-on developer with strong DevOps experience, identifying and implementing the best cloud alternatives for on-prem resources.

The role focuses on the full data lifecycle, supporting the environment used by Data Engineering and Data Science teams, and requires expertise in AWS, CI/CD, and data processing tools.

Qualifications

  • Bachelor's degree in Computer Science, IT, Mathematics or equivalent experience.
  • Extensive familiarity with AWS services to include CloudFormation, EC2, S3, and RDS.
  • CloudFormation, Ansible, Git, Jenkins, Bash.
  • Programming Languages: Python, Java or Scala.
  • Processing Tools: Elasticsearch, Spark, Nifi, and/or Docker.
  • Datastore Types: Graph, NoSQL, and/or Relational.
  • Familiarity in ISSE roles and responsibilities.
  • Active TS/SCI with Poly required.

Responsibilities

  • Lead refactoring of data workflows from on-prem to the cloud and manage full data lifecycle.
  • Support production data flows and underlying environment for data engineering and data science teams.
  • Collaborate with security and ISSE functions to ensure compliant cloud adoption.

Skills

Python
Java
Scala
Bash
Git
Jenkins
Ansible
TS/SCI clearance

Education

Bachelor's degree in Computer Science/IT/Mathematics

Tools

AWS CloudFormation
EC2
S3
RDS
Docker
Elasticsearch
Spark
NiFi

Job description

V2X Inc in McLean, VA is seeking a DevOps Engineer with an active TS/SCI with Poly clearance to lead the refactor of data workflows from on-prem to cloud. You will be a hands-on developer with strong DevOps experience, identifying and implementing the best cloud alternatives for on-prem resources.

The role focuses on the full data lifecycle, supporting the environment used by Data Engineering and Data Science teams, and requires expertise in AWS, CI/CD, and data processing tools.

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