Top Senior Level Data Engineer Jobs

The Senior Data Engineer at Cypris will design, build, and maintain scalable data pipelines and systems. Responsibilities include optimizing data performance, implementing ETL processes, collaborating with teams for data solutions, and ensuring data security. The role focuses on enhancing data capabilities in an AI-powered research tool for global innovation data.

As a Senior Data Engineer, you will design and implement scalable ETL tools and data services, optimizing data systems and pipelines. Collaborate with analysts and product owners to deliver data technology solutions, enhance CI/CD pipelines, and ensure data quality across various stages. You will document processes and provide technical support for data integration and management.

Seeking a Senior Provisioner with 3-5 years of telecom experience to manage telecom orders, coordinate service installations, and communicate with clients and vendors for timely and accurate service delivery of Voice and Data telecom services.

The Data Analytics Architect leads the design and administration of a federal customer’s data analytics suite. Responsibilities include working primarily with Splunk and Cribl in cloud environments, optimizing data storage configurations, and collaborating with teams on security content requirements for SOC operations.

The Associate Manager, Research Program Management will oversee the quality and accessibility of scientific project data, ensure data accuracy, manage discovery portfolios, and provide insights for decision-making. This role will also involve improving data management processes and mentoring others in the use of PPM systems and tools.

As a Staff Data Scientist at Coinbase, you will build advanced models, provide technical mentorship, and develop novel experimentation techniques to drive business value. Your role will involve creating sequential features based on user behavior and quantifying the impact of negative experiences on the platform.

As a Senior Data Engineer at Fox Corporation, you will lead the creation and implementation of data pipelines and platforms that provide insights for the business. Responsibilities include aligning engineering roadmaps with cross-functional teams, ensuring data quality, and developing data products and tools to enhance analytics capabilities across the organization.