Senior Data Platform Engineer- Weights & Biases
About The Position
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. You will partner with core engineering to improve our product telemetry. Eventually, you will join our on-call rotation for the data platform. Strategic goals for the team over the next 12 months include migrating data build tools to improve efficiency and performance, building a robust internal data catalog and semantic layer to support self-service analytics, building an internal AI agent for addressing common data workflows, and laying the foundations for internal AI applications built on top of our operational data.
Requirements
- 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.
Nice To Haves
- Work well in a self-directed environment and proactively find ways to improve processes and collaborate with team members or engaged users.
- Enjoy connecting with real users daily, helping them solve issues, and understanding good patterns for using our tools.
- 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.
Responsibilities
- 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.
- 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.
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
