Data Engineer

• Design, develop, and maintain scalable data pipelines and data systems with a focus on reliability, performance, and usability
• Build and support ETL processes to ingest, process, and store large volumes of data from internal and external sources
• Collaborate with business stakeholders to define requirements, KPIs, and acceptance criteria
• Work with structured and unstructured data from relational, non-relational, and cloud-based data platforms
• Support data quality initiatives including cleansing, transformation, and feature engineering processes
• Partner with Data Science, Software Engineering, and Architecture teams to deliver real-time and batch data solutions
• Maintain CI/CD pipelines, source control processes, and automated testing standards
• Participate in architecture reviews, design discussions, and knowledge-sharing sessions
• Monitor platform performance, identify issues, and implement solutions to improve reliability and scalability
• Perform other duties, as needed

• 5+ years of Data Engineering experience
• Bachelor’s degree in Computer Science, Information Technology, or a related field
• Strong experience with ETL development, data pipelines, and large-scale data processing
• Advanced SQL skills
• Experience building scalable, distributed, and highly available data systems
• Experience with cloud data platforms such as Snowflake, Databricks, AWS, or Google Cloud Platform
• Experience with source control repositories, CI/CD pipelines, and automated testing
• Familiarity with Agile methodologies including Scrum and Kanban
• Strong communication and collaboration skills

Desired Skills:

• Experience with Snowflake or similar cloud data platforms
• Experience with data visualization tools and reporting solutions
• Experience working with multi-billion-record datasets
• Knowledge of enterprise digital analytics platforms
• Understanding of Site Reliability Engineering (SRE) practices
• Experience supporting Data Science and Analytics teams
• Exposure to CDN technologies or streaming media environments
• Collaborative mindset with a strong willingness to learn new tools and technologies

A media services company in New York City is seeking a Senior Data Engineer to support the design, development, and maintenance of scalable data platforms, ETL pipelines, and cloud-based data solutions across a high-volume streaming and analytics environment.