Senior Data Engineer

We are seeking an individual to support a Fortune Broadcast Media & Entertainment organization as a Data Engineer. In this role, you will be designing, building, and scaling data pipelines across a variety of course systems and streams (internal, third-party, and cloud based), distributed/elastic environments, and downstream applications and self-service solutions. In this role, you will have the opportunity to work alongside the Ai Enablement organization and define requirements to develop efficient data acquisition and integration strategies Minimum Qualifications: • 10+ years of experience in a data engineering role, with a strong emphasis on leading data engineering teams • Ability to think critically about problems, decipher user preferences versus challenging requirements, and effectively use online and onsite resources to find appropriate solutions. • Proven ability to thrive in an agile development environment, adept at incorporating feedback and adjusting to changing priorities. • Understanding REST-based APIs, vectorized embeddings, and other Retrieval Augmented Generation AI workload components. • Direct experience with data modeling, ETL/ELT development principles, cloud development, and data warehousing concepts • Knowledge of cloud technologies such as AWS, Azure, GCP • Knowledge of data management fundamentals and data storage principles • Experience in building data pipelines using Python/SQL or similar programming languages. • General understanding of cloud data engineering design patterns and use cases • Bachelor's degree in computer science, Data Science, Statistics, Informatics, Information Systems or related field. Responsibilities: • Design, build, and scale data pipelines across a variety of source systems and streams (internal, third-party, and cloud-based), distributed/elastic environments, and downstream applications and self-service solutions. • Deep understanding of Machine Learning best practices (e.g., training/serving, feature engineering, feature/model selection, imbalance data, RAG patterns) and algorithms (e.g., deep learnings, optimization) • Solid understanding of data modeling, warehousing, and architecture principles. • Implement appropriate design patterns while optimizing performance, cost, security, and scale and end-user experience. • Collaborate with cross-functional teams to understand data requirements and develop efficient data acquisition and integration strategies. • Interface with other technology teams to extract, load, and transform data from a wide variety of data sources using cloud-native data engineering principles. • Become a subject matter expert for data engineering-related technologies and designs. • Coach and guide others within the organization to build scalable pipelines based on foundational data engineering principles. • Participate in development sprints, demos, and retrospectives alongside releases and deployment. • Build and manage relationships with supporting engineering teams to deliver work products to production effectively. • Have worked well with data scientists, business analysts, and machine learning infrastructure to connect the dots between business and technology partners. What’s in it for you? • High ownership role with influence on system design, engineering standards, and data reliability • Exposure to complex data ecosystems supporting analytics, products, and content delivery • Collaborative environment that values strong engineering fundamentals and thoughtful design • Ability to make a meaningful impact within a large-scale, high-visibility organization