Senior Data Enterprise Architect

Nyla Technology Solutions

Corridor North (MD)

On-site

USD 178,000 - 210,000

Full time

14 days+
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Job summary

Nyla Technology Solutions seeks a Software Engineer specializing in workflow orchestration and automation to design, optimize, and maintain core data workflows using Apache Airflow.

The role collaborates with data engineers and platform teams to deliver scalable, observable, and secure production-ready solutions, with a TS/SCI polygraph clearance required.

Qualifications

  • Active TS/SCI polygraph clearance is required.
  • Experience building data workflows and automation pipelines.
  • Strong collaboration with data engineers and platform teams to ensure secure, production-ready solutions.

Responsibilities

  • Create, optimize, and maintain core data workflows and automation pipelines using Apache Airflow.
  • Collaborate with data engineers, platform teams, and stakeholders to deliver reliable data infrastructure.
  • Ensure solutions are scalable, observable, and secure in production.

Skills

Apache Airflow
Workflow orchestration
Data pipelines

Job description

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED

We have an immediate need for a Software Engineer specializing in workflow orchestration and automation. In this role, you will be responsible for creating, optimizing, and maintaining core data workflows and automation pipelines using Apache Airflow. You will build reliable, scalable, and highly observable solutions supporting data engineering, analytics, and operational use cases. Working in close collaboration with data engineers, platform teams, and key mission stakeholders, you will ensure end-to-end data workflows remain efficient, secure, and production-ready.

The annual base salary range for this role is $178,000-$210,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

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