Mission-Critical Data Engineer & Pipelines

CACI; Denver (CO); On-site; USD 76,000 - 155,700; Full time

Job summary

CACI is hiring a Data Engineer/Software Integrator in Denver to join our IT team supporting mission-critical data flows. You will build and maintain hundreds of data pipelines, ingest data from diverse providers, and ensure low latency across multiple networks within the FADE data ecosystem.

The role requires a Top Secret clearance now with Polygraph anticipated later, plus strong Linux, Python, and cloud-based ETL experience.

Qualifications

• Clearance: minimum Top Secret; TS/SCI with polygraph expected later.
• Bachelor’s degree or equivalent; master’s preferred.
• Minimum 3 years of experience with software development programs.
• DoD 8570 level IAT-II certification required or to be obtained within 6 months.
• Experience in Linux, AWS, and data pipelines.

Responsibilities

• Configure and maintain data ingest workflows (ETL) across production systems.
• Install, configure, and update a wide array of COTS/GOTS software.
• Support and troubleshoot diverse IT infrastructure hardware and protocols.
• Collaborate with software development and systems teams to monitor production systems.
• Generate and maintain system diagrams and documentation.
• Troubleshoot networks and establish new connectivity.
• Monitor and maintain databases (RDBMS).

Skills

Security clearance

Agile teamwork

Scripting

Python

Bash

Education

Bachelor’s degree or equivalent

Tools

Jira

Confluence

Docker

Kubernetes

Git

GitLab Runners

AWS

Linux

PostgreSQL

Oracle

MySQL

REST API

SFTP

Kafka

AMQ

JSON

GeoJSON

YAML

Helm

CI/CD

Job description

CACI is hiring a Data Engineer/Software Integrator in Denver to join our IT team supporting mission-critical data flows. You will build and maintain hundreds of data pipelines, ingest data from diverse providers, and ensure low latency across multiple networks within the FADE data ecosystem.

The role requires a Top Secret clearance now with Polygraph anticipated later, plus strong Linux, Python, and cloud-based ETL experience.