DevOps Data Engineer (TS/SCI) — Cloud Migration Lead

V2X, Inc.; McLean (VA); On-site; USD 120,000 - 150,000; Full time

Job summary

V2X, Inc. is seeking a DevOps Engineer with an active TS/SCI with Poly clearance to lead refactoring of data workflows from on-prem to the cloud. The candidate will be a hands-on developer with strong DevOps experience and a track record of implementing scalable cloud-based infrastructure.

You will support data engineering and science teams by maintaining production data flows, automating deployments, and optimizing cloud resources across AWS services such as CloudFormation, EC2, S3 and RDS.

Qualifications

• Bachelor's degree in Computer Science, IT, Mathematics or equivalent experience.
• Extensive familiarity with AWS services including 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 the refactoring of data workflows from on-prem to the cloud.
• Support full data lifecycle from exploratory analysis to production data flows.
• Maintain and optimize production data environments for Data Engineering and Data Science teams.

Skills

TS/SCI with Poly clearance

Cloud migration strategy

Hands-on DevOps

ISSE familiarity

Education

Bachelors degree in Computer Science/IT/Math or equivalent

Tools

AWS CloudFormation

Ansible

Git

Jenkins

Bash

Python

Java

Scala

Elasticsearch

Spark

Nifi

Docker

AWS CDK

Terraform

Packer

REST APIs

JavaScript/NodeJS

Presto/Trino

MapReduce

Hive

Job description

V2X, Inc. is seeking a DevOps Engineer with an active TS/SCI with Poly clearance to lead refactoring of data workflows from on-prem to the cloud. The candidate will be a hands-on developer with strong DevOps experience and a track record of implementing scalable cloud-based infrastructure.

You will support data engineering and science teams by maintaining production data flows, automating deployments, and optimizing cloud resources across AWS services such as CloudFormation, EC2, S3 and RDS.