> Markdown version of [/jobs/ext/1891309-data-platform-engineer-weights-biases](https://www.wearedevelopers.com/jobs/ext/1891309-data-platform-engineer-weights-biases). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Platform Engineer - Weights & Biases - **Company:** Coreweave, Inc. - **Location:** United States - **Experience:** Expert - **Salary:** $165,000.0 - $242,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Information Engineering, Data Infrastructure, Data Migration, Data Warehousing, Operational Data Store, Web Applications, Data Logging, Build Tools, Data Management, Machine Learning Operations, Virtual Agents, Data Pipelines - **Published:** August 2, 2026 - **Apply:** https://www.dice.com/job-detail/95668026-4554-4c43-82c4-8e7782b9a210 ## About the Role * Deep knowledge (practical and theoretical) of data engineering and the accompanying workflows. * History of writing easy-to-follow code and effective documentation for your projects. * Expert knowledge of data orchestration/data pipeline tools (dbt, dagster, airflow, etc). * Experience working with large and high-demand data warehouses/platforms, multi-PB scale, and extreme business demand for the systems. * Expert knowledge and understanding of web apps and best practices for logging and event instrumentation. * Ability to clearly communicate your ideas to folks across a range of backgrounds and levels of technical knowledge. Preferred: * If you work well in a self-directed environment and proactively find ways to improve processes and collaborate with team members or engaged users, your initiative will really shine in this role. * You'll love this role if you enjoy connecting with real users daily, helping them solve issues, and understanding good patterns for using our tools. You'll answer questions and requests with a kind, thoughtful tone that makes users feel appreciated and connected to our team. * Theoretical or practical knowledge of machine learning workflows and terminology. ## Description The Data group at Weights & Biases works across the full range of data-related topics: * We help business partners set goals, make decisions, and understand the levers to achieve their goals. * We build reporting to keep the business attuned and aligned. * We build datasets and pipelines to support self-service analysis. * We train models to understand our customer growth, churn risk, and detect spam and abuse. * We're exploring novel benchmarks and recs for model training. * We build and maintain a massive data platform to power it all., As a Senior Data Platform Engineer, you will: * Partner with other Data Platform Engineers and Data Scientists to expand and maintain our data platform. * Partner with core engineering to improve our product telemetry. * Eventually, join our on-call rotation for the data platform. * Strategic goals for the team over the next 12 months: * Migrate data build tools to improve efficiency and performance * Build a robust internal data catalog and semantic layer to support self-service analytics. * Build an internal AI agent for addressing common data workflows. * Lay the foundations for internal AI applications built on top of our operational data. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Building a framework-independent component library](https://www.wearedevelopers.com/videos/1679-building-a-framework-independent-component-library) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)