• 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.

Senior Data Engineers lead the development and optimization of complex data systems and pipelines. Responsibilities include managing data projects, ensuring data quality, and mentoring junior engineers. You will work with stakeholders to align data solutions with business goals and drive improvements. Extensive experience in data engineering and leadership skills are required.