CoreWeave · 20 hours ago
Analytics Engineer II
CoreWeave is The Essential Cloud for AI™, delivering a platform of technology and tools for innovators in AI. The Analytics Engineer II will contribute to building the enterprise semantic layer, transforming raw data into trusted models and analytics-ready datasets to support decision-making across the company.
AI InfrastructureArtificial Intelligence (AI)Cloud ComputingCloud InfrastructureInformation TechnologyMachine Learning
Responsibilities
Build and maintain CoreWeave’s enterprise semantic layer
Transform raw data into trusted models, metrics, and analytics-ready datasets
Work across the analytics stack using tools like dbt, Airflow, Spark, StarRocks, Tableau, and Omni
Deliver reusable data models, dashboards, and analytics products that support reporting, self-service analytics, and emerging AI use cases
Partner with data engineering, finance, product, and operations to implement shared business logic and ensure data is clear, consistent, and decision-ready
Qualification
Required
Experience working in fast-paced, complex data environments, contributing to analytics solutions that support real business use cases
3+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence
2+ years of hands-on experience modeling analytics-ready data using dbt with SQL and/or Python
Strong SQL skills, with experience writing, debugging, and optimizing analytical queries
Experience querying MPP analytical databases such as StarRocks, Snowflake, BigQuery, or Redshift
Experience with one or more modern BI tools (e.g., Omni, Tableau, Looker, Power BI), including building dashboards, metrics, and semantic models that support self-serve analytics
Hands-on experience orchestrating or contributing to data workflows using Airflow, Dagster, or equivalent tools
Working proficiency in at least one scripting language (e.g., Python, Bash, R, or Julia)
Ability to translate analytical requirements into well-modeled datasets, metrics, and visualizations used by business stakeholders
Preferred
Experience contributing to production data pipelines or data platforms, with exposure to software engineering best practices such as testing, CI/CD, and code review
Familiarity with stream processing or data transport systems (e.g., Kafka, Flink), including a basic understanding of how they are used in production data systems
Familiarity with open table formats such as Iceberg, Hudi, Delta, or Paimon, and an understanding of their role in lakehouse architectures and analytics workflows
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
Company
CoreWeave
CoreWeave is a cloud-based AI infrastructure company offering GPU cloud services to simplify AI and machine learning workloads.
Funding
Current Stage
Public CompanyTotal Funding
$26.87BKey Investors
NVIDIAGoldman Sachs,JP Morgan Chase,Morgan Stanley,MUFG Union BankJane Street Capital
2026-01-26Post Ipo Equity· $2B
2025-12-08Post Ipo Debt· $2.54B
2025-11-12Post Ipo Debt· $2.5B
Recent News
The Motley Fool
2026-02-05
The Motley Fool
2026-02-05
Company data provided by crunchbase