Software Engineer - Hybrid

The Software Engineer shall 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.

Position Required Skills:

• 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

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

Basic Qualifications:

• Active TS/SCI with Polygraph
• 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.

Salary range for this position $160,000-$185,000 #CJ