← All roles

Senior Data Platform Engineer - Weights & Biases

Weights & Biases· Technology - G&A
Apply on company site
Hybrid (US)$165k - $242k + equity + bonusFull-timePosted 3mo ago

About the role

Senior Data Platform Engineer role at Weights & Biases, part of CoreWeave. Focus on designing and operating enterprise data platform, data pipelines, data models, telemetry, data catalog, and support for data-powered AI applications across multi-petabyte environments. Locations include Livingston NJ, New York NY, San Francisco CA, Sunnyvale CA, Bellevue WA, or remote US.

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. 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.
  • Operate and support the platform — 5%: Monitor production systems, troubleshoot incidents, document operational procedures, and participate in an on-call rotation after onboarding and training.

Qualifications

  • Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, Data Science, Information Systems, or a closely related technical or quantitative field involving substantial coursework in Engineering.
  • 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.

Skills

Required:Data pipeline design and implementationData transformation/orchestration frameworksData warehouse modeling and optimizationProduct telemetry and instrumentationData catalog and semantic modeling
Nice to have:Internal platform support and collaboration

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
  • - 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 office and data center locations
  • - Casual work environment
  • - Work culture focused on innovative disruption
Last updated Sep 6, 2026. Interested? Apply on the company site.

About Weights & Biases

The AI developer platform to build AI agents, applications, and models with confidence

Weights & Biases AI development platform

ModelsServerless RLServerless SFTARTRulerOpenAI OSSAlibaba Qwen3Meta Llama
Company profileWebsite

More open roles at Weights & Biases