…The successful candidate must have a fundamental breadth of technical knowledge in cloud data management, backup and disaster recovery and data analytics. Entrepreneurial - willing…

…Together, these systems form the packet-processing foundation of the Traffic Management organization. We are a team of engineers who obsess over performance, correctness…

…Assesses technical and business risks in programs and develops mitigations. Manages their schedule and communicates with project leads. Generates and delivers Work Breakdown Structure…

…Bridge data engineering and AI teams so agentic and analytical workloads can reason over the same governed data estate at scale. Solution Design & Deployment…

…As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our…

…data engineering, analytics, and AI/ML to create end-to-end value for customers • Simplifying and driving the use of best practices across technical…

…software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience…

…Engineering team within the AI and Data Platform (AiDP) organization manages a wide array of real-time, near real-time, and batch analytical solutions…

…Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The…

…over time, open doors to many directions within Apple — engineering, program management, data, operations, and beyond. If you are intellectually curious, technically capable, and…

…managing or developing within Kubernetes clusters and a deep understanding of container orchestration. - DevOps & Reliability Background: Proven experience in DevOps, Site Reliability Engineering (SRE…

…open-source LLMs. - Experience with Kubernetes, cloud infrastructure, and service mesh technologies. - Experience with large-scale observability and SRE best practices. - Experience with data…

…7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role Experience building distributed data systems Comfortable programming in…

…with big-data technologies to solve data engineering and big-data analytical challenges Experience designing and architecting distributed data systems Comfortable programming in, and…

…As a Data Platform SRE, you will be responsible for developing and operating our big data platform using open source or other solutions to…

…environment Strong analytical skills, with the ability to build and maintain pricing and margin analyses and reporting / dashboards that translate deal data into actionable…

…Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform…

…Secure it Forward program. The Role We are seeking a highly analytical Sr. Director Product Marketing, with a strong technical background, specializing in Cybersecurity…

…IT, technical or engineering programs experience - Experience in any of the following: Cloud Architecture, Systems Design, Software Development, Infrastructure Architecture, Data Engineering or DevOps…

…Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform…

…Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform…

…As a Sr Analyst in Regulatory Solutions Analytics, you’re expected to - Lead investigative, data-first work end to end: decide which data makes…

…As a Director of Software Engineering – Payment Data Platform Infrastructure at JPMorgan Chase within the Commercial and Investment Banking – Data Analytics Payment Team , you…

…Skills that will make you successful: - Analytical Mindset: Ability to identify P&L discrepancies and propose root-cause remediations — including leveraging AI-assisted data…

…supply chain, manufacturing, engineering, finance, and deployments. Set the standards, then identify gaps against that standard across the company using data, scorecards, metrics under…