# Senior Data Platform Engineer - Weights & Biases **Company**: CoreWeave **Location**: Livingston, WA / Remote - US **Work arrangement**: remote **Experience**: senior **Job type**: full-time **Salary**: $165,000 to $242,000 **Category**: Engineering **Industry**: Technology **Apply**: https://job-boards.greenhouse.io/coreweave/jobs/4625588006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/job/senior-data-platform-engineer-weights-and-biases-79c1e143-21c/ ## Description 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. 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. 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. ## Responsibilities - 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. - Improve data warehouse performance and reliability , 15%: Design data models, schemas, partitioning strategies, and storage patterns for large-scale analytical workloads. - 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. - Operate and support the platform , 5%: Monitor production systems, troubleshoot incidents, document operational procedures, and participate in an on-call rotation. ## Requirements - Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, Data Science, Information Systems, or a closely related technical or quantitative field. - At least five years of progressive professional experience in software engineering, data engineering, data infrastructure, or a closely related occupation. - Professional experience designing and implementing production data pipelines and distributed data-processing systems. - Professional experience with data transformation or workflow-orchestration technologies such as dbt, Dagster, Airflow, or comparable platforms. - Professional experience designing data models, schemas, and storage strategies for large-scale analytical databases or cloud data warehouses. - Professional experience programming in Python, Go, Java, Scala, or another general-purpose programming language used to build production data systems. - Professional experience with SQL, database performance optimization, data-quality testing, and production monitoring. - Knowledge of software-engineering practices, including version control, automated testing, code review, continuous integration, deployment automation, and technical documentation. - Knowledge of web-application telemetry, event instrumentation, logging systems, APIs, and distributed-service architecture. - Ability to communicate technical designs, risks, and tradeoffs to engineering, data science, analytics, and business stakeholders. ## Preferred Qualifications - Experience operating multi-petabyte data platforms or other high-volume, business-critical data systems. - Experience with cloud infrastructure and data services on AWS, Google Cloud Platform, or Microsoft Azure. - Experience with data catalogs, metadata management, lineage systems, governance frameworks, or semantic layers. - Knowledge of machine-learning workflows, model-development terminology, or the data requirements of production AI applications. - Experience supporting internal platform users, responding to technical questions, and converting user feedback into platform improvements. - Demonstrated ability to work effectively in a self-directed environment, identify opportunities for improvement, and collaborate across engineering and business teams. ## Benefits - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption For more fresh new jobs, check out [yubhub.co](https://yubhub.co/). ## Skills ### Required - Python - Go - Java - Scala - SQL - dbt - Dagster - Airflow - data architecture - distributed systems - database technologies ### Nice to have - AWS - Google Cloud Platform - Microsoft Azure - data catalogs - metadata management - lineage systems - governance frameworks - semantic layers - machine-learning workflows --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/coreweave/jobs/4625588006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)