G

GIGATEC Engineering

Defense computing and cybersecurity

Big Data Architect

Full-TimeUpdated on 10/20/2026
No salary listed
Mid
Annapolis Junction, MD, USA
In Person
Data & AnalyticsData Engineering
No H1B Sponsorship
US Top Secret Clearance Required

About the job

Requirements
  • Experience using the Linux command-line interface and Linux tools.
  • Experience developing Bash scripts to automate manual processes.
  • Recent software development experience using Python and Java.
  • Experience using Apache Airflow, including directed acyclic graph design, scheduling, operators, and sensors, to orchestrate, schedule, and monitor complex workflows.
  • Experience using distributed big data processing engines, including Apache Spark.
  • Experience with containerization technologies such as Docker, containerd, and Podman.
  • Experience using Git source control.
  • Familiarity with AWS cloud services and infrastructure.
  • Experience using the Atlassian tool suite, including Jira and Confluence.
  • Authorization to work in the United States.
  • Ability to obtain a Top Secret clearance and successfully complete a polygraph.
Responsibilities
  • Create and maintain data workflows and automation pipelines using Apache Airflow.
  • Build reliable, scalable, and observable workflow orchestration solutions that support data engineering, analytics, and operational use cases.
  • Collaborate with data engineers, platform teams, and stakeholders to ensure workflows are efficient, secure, and production-ready.

About the company

GIGATEC Engineering is a national-security engineering firm serving the U.S. Department of Defense and intelligence community. Its capabilities include high-performance and hybrid computing, infrastructure engineering, modern software and DevOps, advanced data analytics, artificial intelligence and cybersecurity modernization. Teams work on mission-critical systems requiring technical depth, secure delivery and continuous adaptation. The company focuses on federal defense and intelligence outcomes, using engineers, data scientists and cyber specialists rather than selling a general consumer technology product.

Company Size

N/A

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A