AWS DevOps Data Engineer at railroad19

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 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 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 • 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