Airflow Data Pipeline Engineer (TS/SCI)

Captivation Software; Annapolis (MD); On-site; USD 130,000 - 270,000; Full time

Benefits offered by this job

Annual Salary: $130,000 - $270,000

Up to 20% 401k contribution

Above Market Hourly Rates

$3,600 HSA Contribution

6 Weeks Paid Time Off

Company Paid Employee Insurance (Med/D

Life Insurance / Disability

Job summary

Captivation Software in Annapolis, MD is seeking a mid-level software engineer to create and maintain 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.

Qualifications

• Experience with Linux CLI and Linux tools.
• Experience developing Bash scripts to automate processes.
• Recent Python and Java software development experience.
• Experience with Apache Airflow to orchestrate workflows.
• Experience with Spark for distributed data processing.
• Experience with Docker/Podman containers and Git.

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 production readiness.

Skills

Linux CLI

Bash scripting

Python

Java

Airflow

Spark

Docker/Podman

Git

Education

Master's degree in Computer Science or related discipline

Bachelor's degree in Computer Science or related discipline

Seven years of SWE experience in similar scope

Tools

Docker

Podman

AWS

Jira/Confluence

Airflow (DAG design)

Job description

Captivation Software in Annapolis, MD is seeking a mid-level software engineer to create and maintain 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.