Software Engineer II

Reflexive Concepts • Annapolis Junction, MD

10h

About The Position

Reflexive Concepts is seeking a skilled Software Engineer II to join our growing team! 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.

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.
• 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

Nice To Haves

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

Responsibilities

• creating and maintaining data workflows and automation pipelines using Apache Airflow
• building reliable, scalable, and observable workflow orchestration solutions that support data engineering, analytics, and operational use cases
• collaborate closely with data engineers, platform teams, and stakeholders to ensure workflows are efficient, secure, and production-ready

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level