HPC Software Engineer (Python, Airflow, Linux) – Remote

Erias Ventures; Maryland; Hybrid; USD 213,000 - 233,000; Full time

Benefits offered by this job

Above Market Pay

401k with Immediate Vesting

Spot Bonuses for Business Growth

Professional Development Bonuses

Job summary

Erias Ventures in the United States is seeking a Software Engineer 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.

You will collaborate with data engineers, platform teams, and stakeholders to ensure workflows are efficient, secure, and production ready.

Qualifications

• 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.
• 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.
• Seven (7) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.

Responsibilities

• Create and maintain data workflows and automation pipelines using Apache Airflow.
• Collaborate with data engineers, platform teams, and stakeholders to ensure workflows are efficient and production ready.
• Build scalable, observable workflow orchestration solutions supporting data, analytics, and operations.

Skills

Linux CLI

Bash scripting

Python

Java

Apache Airflow

Apache Spark

Docker/Containerd/Podman

Git

Education

Master's degree in Computer Science or related discipline

Bachelor's degree in Computer Science or related discipline

Tools

JIRA

Confluence

Job description

Erias Ventures in the United States is seeking a Software Engineer 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.

You will collaborate with data engineers, platform teams, and stakeholders to ensure workflows are efficient, secure, and production ready.