Senior Data Platform Engineer - Weights & Biases

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at coreweave. com . Weights & Biases at CoreWeave CoreWeave acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. CoreWeave operates a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave’s industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights & Biases, we’re setting a new standard for how AI is built, trained, and scaled. The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full AI lifecycle — all in one seamless platform. Weights & Biases has long been trusted by over 1,500 organizations — including AstraZeneca, Canva, Cohere, OpenAI, Meta, Snowflake, Square, Toyota, and Wayve — to build better models, AI agents and applications.

Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises. As we unite under one vision, we’re looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you’re passionate about solving complex problems at the intersection of software, hardware, and AI, there’s never been a more exciting time to join our team. What You’ll Do As a Senior Data Platform Engineer, you will apply advanced knowledge of software engineering, data architecture, distributed systems, and database technologies to design and operate our enterprise data platform. Your responsibilities will include: - Design and implement scalable data systems and pipelines — 30%: Architect, develop, test, and maintain distributed batch and streaming pipelines that ingest, transform, validate, and deliver structured and semi-structured data across production systems. - Develop data transformation and orchestration frameworks — 20%: Build and optimize workflows using technologies such as dbt, Dagster, Airflow, or comparable tools. Establish testing, deployment, dependency-management, data-quality, and observability standards for these workflows. - Improve data warehouse performance and reliability — 15%: Design data models, schemas, partitioning strategies, and storage patterns for large-scale analytical workloads. Diagnose and resolve performance, scalability, availability, and cost-efficiency issues within multi-petabyte data environments. - Build product telemetry and data instrumentation — 15%: Partner with software engineering teams to define event schemas and implement reliable logging, telemetry, and instrumentation for web applications, backend services, and distributed systems. - Develop data catalog and semantic-layer capabilities — 10%: Design metadata, lineage, governance, and semantic-modeling systems that enable consistent business definitions and secure self-service analytics. - Support data-powered AI applications — 5%: Establish data interfaces and platform foundations for internal AI applications, including systems that support automated data discovery, workflow assistance, customer-growth analysis, churn-risk modeling, and abuse detection.