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Software Engineer 2 (Workflow Orchestration & Observability) with Security Clearance

Cornerstone Defense · Annapolis, MD · 1 mo ago
Engineering$170/hrFull-time

About the role

The Software Engineer will be responsible for creating and maintaining data workflows and automation pipelines using Apache Airflow. This role focuses on building reliable, scalable, and observable workflow orchestration solutions that support data engineering, analytics, and operational use cases. The engineer will collaborate closely with data engineers, platform teams, and stakeholders to ensure workflows are efficient, secure, and production ready.

Responsibilities

  • Create and maintain data workflows and automation pipelines using Apache Airflow
  • Build reliable, scalable, and observable workflow orchestration solutions
  • Collaborate with data engineers, platform teams, and stakeholders to ensure workflows are efficient, secure, and production ready
  • Develop Bash scripts to automate manual processes
  • Use Python and Java for recent software development experience
  • Use Apache Airflow for DAG design, scheduling, operators, and sensors
  • Use Distributed Big Data processing engines like Apache Spark
  • Use containerization technologies such as Docker, containerd, and Podman
  • Use Git Source Control System

Requirements

  • Master's degree in computer science or related discipline from an accredited college or university, plus three (3) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.
  • OR Bachelor's degree in computer science or related discipline from an accredited college or university, plus five (5) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.
  • OR Seven (7) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.

Qualifications

  • Experience using the Linux CLI and Linux tools
  • Experience developing Bash scripts to automate manual processes
  • Recent software development experience using Python and Java
  • Experience using Apache Airflow (DAG design, scheduling, operators, 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 with Git Source Control System

Skills

  • Experience using the Atlassian Tool Suite (JIRA, Confluence)
  • Familiar with AWS Cloud Services and Infrastructure

Pay

$170 - $190K

Schedule

N/A

Benefits

Medical, Dental and Vision Plans
Generous PTO Policy
401(k)
HSA and FSA options
Life and Disability Insurance
Tuition Reimbursement and Training
Perks at Work Discount Program
Referral Program
Leads Generation Program
CollegeAmerica 529
Fitness Reimbursement Program
Travel Assistance
Norton Lifelock Benefit Solutions
Life Planning Financial & Legal Services

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