Senior Data Platform Engineer - Weights & Biases

Role description

Role Overview

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. Your responsibilities will include designing and implementing scalable data systems and pipelines, developing data transformation and orchestration frameworks, improving data warehouse performance and reliability, building product telemetry and data instrumentation, developing data catalog and semantic-layer capabilities, and supporting data-powered AI applications.

What You Will Do

Your responsibilities will include designing and implementing scalable data systems and pipelines, developing data transformation and orchestration frameworks, improving data warehouse performance and reliability, building product telemetry and data instrumentation, developing data catalog and semantic-layer capabilities, and supporting data-powered AI applications.

Why It Might Be a Fit

This position requires independent technical judgment to evaluate architectural alternatives, identify system constraints, and select appropriate data structures, algorithms, database designs, and distributed-processing patterns.

Requirements

• 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.

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