AWS DevOps Data Engineer

Railroad19, Inc

2d • $120,000 - $160,000 • Remote

About The Position

We’re looking for an experienced AWS DevOps Data Engineer to support a large enterprise media organization. This full-time role blends hands‑on engineering with DevOps direction, AWS best‑practice guidance, and cross‑team enablement.

About Railroad19, Inc
At Railroad19, Inc, we develop customized software solutions and provide software development services. We’re a specialized team of developers and architects. As such, we only bring an “A” team to the table, through hard work and a desire to lead the industry — this is our company culture — this is what sets Railroad19 apart.
As a Railroad19 employee, you will be part of a company that values your work and gives you the tools you need to succeed. Our headquarters is in Saratoga Springs, New York, but this position is 100% remote. Railroad19 provides competitive compensation and excellent benefits~ including Medical/Dental/Vision/Pet Insurance, Paid Time Off, and 401 (k).
NO 1099, C2C, Corp-to-Corp, only full-time employment.
NO Agencies

Requirements

• 4–8+ years in cloud engineering, DevOps, or data engineering
• Strong AWS experience (EMR, ECS, Lambda, IAM)
• Python development skills
• Airflow production experience
• Hands‑on GitLab experience; GitHub Actions a plus
• Ability to guide teams, influence standards, and operate in a complex enterprise setting

Nice To Haves

• Media/entertainment industry experience
• Terraform or CloudFormation
• Spark or distributed data processing
• Strong communication and documentation skills
• AWS Certifications

Responsibilities

• Build and support AWS infrastructure (EMR, ECS, Lambda, IAM)
• Create POCs and reference implementations to guide teams on AWS best practices
• Own and manage GitLab (runners, permissions, pipelines) and support the transition to GitHub Actions
• Coordinate and enable multiple engineering teams to adopt consistent DevOps workflows
• Develop Python‑based ETL/automation scripts
• Build and maintain Airflow DAGs for data workflows
• Improve CI/CD pipelines, automation, and platform reliability
• Collaborate across engineering, data, product, and security teams in a large enterprise environment

Benefits

• Medical
• Dental
• Vision
• Pet Insurance
• Paid Time Off
• 401 (k)
• bonus eligibility at the end of the fiscal year

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed