Top Digital Media Data Engineering Jobs

The Data Engineer II will maintain CI/CD pipelines, develop AI/ML platforms, process telecom data, and optimize data storage and retrieval strategies.

The Data Engineer will create, maintain, and migrate regulatory reporting systems to Google Cloud Platform (GCP), develop data pipelines, and ensure accuracy for regulatory submissions.

Responsible for implementing changes and improvements in the data warehouse and data catalogue, working with the Data Lake team to enhance performance and meet business needs.

Lead Philo's Data Engineering team, shaping the vision and execution for data architecture and analytics. Build scalable data systems and drive team growth while delivering high-quality data products across functions.

The Senior Data Engineer will build and optimize data pipelines, ensure data integrity, and collaborate with stakeholders to meet business requirements while implementing best coding practices.

The Senior Analytics Engineer will design and implement ETL pipelines and dashboards, ensure data quality, train users, and develop advanced analytics solutions.

As a Senior Analytics Engineer, you will design data models and pipelines, ensuring data integrity for reporting and analysis. Collaborate with cross-functional teams to enhance data architecture and support analytics goals using modern tools and practices.

Lead client-facing data solutioning and pre-sales efforts for Consumer verticals, design executable data architectures, support pursuit to close, and provide ~50% hands-on delivery and architectural oversight while ensuring information security and data privacy compliance.

The Data Modeler will design and maintain data models, support data architecture, collaborate with product teams, and ensure quality and governance of data products.

The Senior Data Engineer will design and optimize large-scale batch and streaming data pipelines using Scala and Spark, oversee the data engineering lifecycle, and engage in technical discussions to improve system efficiency.

The Application Developer - ETL supports the Enterprise Data Warehouse team in developing, testing, and implementing data engineering solutions, while mentoring junior developers and collaborating with senior engineers and project managers.