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Railroad19

AWS DevOps Data Engineer

Posted 4 Days Ago
Remote
Hiring Remotely in U.S.
120K-140K Annually
Mid level
Remote
Hiring Remotely in U.S.
120K-140K Annually
Mid level
The AWS DevOps Data Engineer will build AWS infrastructure, create implementations, manage GitLab and transition to GitHub Actions, develop ETL scripts, and improve CI/CD pipelines in a collaborative environment.
The summary above was generated by AI

AWS DevOps Data Engineer 

 

We’re looking for an experienced AWS DevOps Data Engineer to support a large enterprise media organization. This full-time role blends handson engineering with DevOps direction, AWS bestpractice guidance, and crossteam 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

Core 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
  • Coordinate and enforce cybersecurity best practices 
  • Collaborate across engineering, data, product, and security teams in a large enterprise environment

Skills & Experience

  • 4+ 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 Have/Preferred

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

Top Skills

Airflow
AWS
CloudFormation
Ecs
Emr
Github Actions
Gitlab
Iam
Lambda
Python
Spark
Terraform

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