Senior Data Platform Engineer

Role Description

The Data group at Weights & Biases works across the full range of data-related topics:

• Help business partners set goals, make decisions, and understand the levers to achieve their goals.
• Build reporting to keep the business attuned and aligned.
• Build datasets and pipelines to support self-service analysis.
• Train models to understand customer growth, churn risk, and detect spam and abuse.
• Explore novel benchmarks and recommendations for model training.
• 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.

Qualifications

• 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.

Requirements

• 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.
• Theoretical or practical knowledge of machine learning workflows and terminology.

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.