• Support and protect critical enterprise cybersecurity data environments • Design and integrate secure data pipelines, log management systems, and endpoint protection platforms across hybrid infrastructures • Work at the intersection of security engineering, data architecture, and compliance • Ensure scalable, resilient, and secure data solutions aligned with federal requirements

• Develop, maintain, and optimize data pipelines for analytics and machine learning workloads. • Ensure reliability, scalability, and performance of data workflows. • Implement data ingestion from internal and external sources. • Collaborate with Data Scientists and Analysts to prepare datasets for modeling and analysis. • Build and maintain Databricks-based data pipelines and workflows. • Monitor, debug, and improve data pipeline performance and platform efficiency. • Develop tools and frameworks to automate data operations and ensure data quality. • Work with product and engineering teams to translate data requirements into solutions. • Participate in code reviews and follow data engineering best practices. • Maintain documentation and contribute to improving data engineering standards and tooling.

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 - 4–8+ 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 Have/Preferred - Media/entertainment industry experience - Terraform or CloudFormation - Spark or distributed data processing - Strong communication and documentation skills - AWS Certifications $120,000 - $160,000 a year This is a full-time employment, base annual salary, and bonus eligibility at the end of the fiscal year. Full Benefits- medical, dental, vision, pet insurance, 401k, and competitive paid time off.

Lead the operational analytics function at a strategic level. Partner with executives to guide decision-making and ensure continuous operational efficiency improvements across the business.