Data Engineer

The World's Largest Broadcast Software Provider. RCS Worldwide is home to four industry-defining brands: RCS, Media Monitors, Mediabase, and Florical Systems — serving the broadcast, music, and media intelligence markets across 120 countries. Every day, thousands of radio and television stations around the world rely on RCS technology to stay on air, sound great, and compete in a rapidly changing landscape.

Here is what makes us different:
We are the company behind the scenes of media that billions of people consume every day. When a song plays on your favorite radio station, when a song charts in the music industry, when a TV network stays on air without a second of downtime — there is a good chance RCS technology played a role. Our portfolio touches every corner of the media ecosystem, from playout and music scheduling to international advertising intelligence and airplay analytics.

We are a global team passionate about the industry we serve and moving with the speed and ambition to lead it forward.

At RCS Worldwide, we know that great talent comes from many different backgrounds and experiences. We're committed to building an inclusive, collaborative workplace where people can grow, contribute, and make a meaningful impact.

Join our team in a role with room to grow, reporting directly to the Director of Software Engineering. You'll work alongside data scientists and business stakeholders to turn data into reliable, production-ready solutions that drive decisions across the organization. If you're a self-motivated team player who enjoys a fast-paced environment and takes pride in delivering results, we'd love to hear from you.

• Develop, test, deploy, and maintain data solutions that support business requirements, web applications, models, and analytics
• Work closely with data scientists, analysts, product teams, and business stakeholders to understand requirements and deliver reliable data solutions
• Design, build, and maintain data pipelines and ETL/ELT workflows using PySpark, AWS Glue, Pandas, and orchestration tools such as Apache Airflow or AWS Step Functions
• Implement data ingestion, transformation, validation, storage, and pipeline monitoring
• Build infrastructure to support model training, scoring, and retraining, along with related reporting
• Deploy and manage applications and pipelines using AWS Code Pipeline and ECS
• Monitor data quality, troubleshoot issues, and optimize pipeline performance
• Collaborate with a small, agile team
• Resolve technical issues through debugging and troubleshooting

• 6+ years of professional experience in data engineering.
• Experience developing high-performance applications for large enterprises
• Hands-on AWS cloud experience (or a similar cloud platform), including Glue, Code Pipeline, and ECS
• Strong proficiency in Python (including PySpark, Pandas, and Data Frames) and SQL
• Experience designing, developing, and maintaining data pipelines using AWS Glue or similar data-processing technologies
• Experience building and managing ETL/ELT workflows using Apache Airflow, AWS Step Functions, or similar orchestration tools
• Understanding of data engineering concepts, including ingestion, transformation, validation, storage, and pipeline monitoring
• Familiarity with data quality, pipeline monitoring, troubleshooting, and performance optimization
• Database experience with Postgres, MongoDB, DynamoDB, and Athena
• Experience with Git and collaborative software development practices
• Experience with agile development methodologies
• Proven track record of meeting project timelines with a sense of urgency
• Preferred Experience with AWS Sage Maker or similar ML platforms
• Knowledge of Apache Iceberg and Delta tables

• Respect for others and…