Top Senior Level Data Engineer Jobs

The Senior Data Engineer will work on building and maintaining scalable ETL pipelines, design automation frameworks, engage in data pipeline development, and mentor junior members. The role focuses on leveraging advanced machine learning to optimize data utilization and capacity management for Salesforce's infrastructure.

The VP of Data Analytics is responsible for designing and implementing analytical data products and reporting solutions, enhancing data governance, and collaborating with finance and technology teams to drive business growth through strategic data insights.

The Manager of Data Engineering oversees analytics support staff for Customer Delivery, manages analytics and reporting needs, ensures compliance with regulatory requirements, and develops a data governance strategy. Key responsibilities include leading quantitative studies, managing regulatory reporting, and improving data management processes while providing direction for new analytics initiatives.

The Senior Database Administrator will provide oversight and maintenance of the firm’s databases, including Oracle and Postgres, ensuring high availability, performance, and troubleshooting production issues. Responsibilities include designing, installing, upgrading databases, as well as providing on-call support and collaborating with application teams on data design and migrations.

As the Lead Machine Learning Engineer, you will develop and implement machine learning models for digital advertising performance, collaborate with software engineers, innovate ML solutions, mentor a growing team, and ensure models are effective and scalable.

As a Database Administrator, you will interact with a high-visibility Federal customer, work in a technical team to develop and maintain applications, and manage database administration tasks including SQL queries, migration, backup, and restoring databases. You will also oversee installation and maintenance of PostgreSQL databases in various environments and troubleshoot RDBMS platforms.

The Senior Machine Learning Engineer will develop and implement scalable machine learning models, focusing on ranking and recommendation systems. Responsibilities include conducting A/B tests, analyzing data, collaborating cross-functionally, and building reusable libraries while maintaining thorough documentation.