Software Engineer - Hybrid

Position Description

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

• Active TS/SCI with Polygraph
• Masters 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.
• 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

Position Desired Skills

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

Pay

Salary range for this position $165,000-$185,000