Analytics Engineer - Weights & Biases
About the position
CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave’s industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights & Biases, we’re setting a new standard for how AI is built, trained, and scaled.
The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full AI lifecycle — all in one seamless platform.
Weights & Biases has long been trusted by over 1,500 organizations — including AstraZeneca, Canva, Cohere, OpenAI, Meta, Snowflake, Square,Toyota, and Wayve — to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises.
As we unite under one vision, we’re looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our team.
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.
About the role:
We’re hiring a Data Analytics Engineer who will focus primarily on analytics engineering while remaining a core member of the broader data platform team. You’ll be the dedicated owner of our dbt layer and related analytics infrastructure, driving operational excellence, cost/performance optimization, and self-service analytics at scale. You’ll partner closely with analysts, data scientists, and platform engineers to harden our foundations and enable better decision-making across the company.
Requirements
• Deep knowledge of data engineering and analytics engineering workflows at scale, with a track record of operational excellence
• Expert with dbt (core or Cloud): model design, incremental strategies, macros/packages, testing, documentation, CI/CD
• Strong SQL and warehouse design for BigQuery (partitioning, clustering, materializations, cost/perf tuning at multi-TB/PB scale)
• Experience with orchestration (Dagster preferred; Airflow acceptable) and production-grade deployment practices
• Familiar with data quality frameworks (e.g., dbt tests, Great Expectations, data contracts) and SLA/SLO design
• Proficient in Python for orchestration, utilities, and light data tooling; Git-based workflows
• Understanding of product telemetry, logging standards, and event modeling for web apps/SaaS
• Excellent communication and documentation; able to align analysts, engineers, and stakeholders on semantics and standards
Nice-to-haves
• Hex (or similar BI) performance tuning and governance experience
• Experience building semantic/metrics layers and catalogs (e.g., dbt exposures/semantics, OpenLineage, DataHub/Amundsen/Atlan)
• Prior work migrating dbt Cloud → Dagster or similar orchestrator
• Familiarity with AI/ML workflows and terminology
• Terraform/infra-as-code exposure on GCP
• Experience designing anomaly detection or rule-based alerting for KPIs
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
Apply tot his job
Apply To this Job
CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave’s industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights & Biases, we’re setting a new standard for how AI is built, trained, and scaled.
The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full AI lifecycle — all in one seamless platform.
Weights & Biases has long been trusted by over 1,500 organizations — including AstraZeneca, Canva, Cohere, OpenAI, Meta, Snowflake, Square,Toyota, and Wayve — to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises.
As we unite under one vision, we’re looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our team.
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.
About the role:
We’re hiring a Data Analytics Engineer who will focus primarily on analytics engineering while remaining a core member of the broader data platform team. You’ll be the dedicated owner of our dbt layer and related analytics infrastructure, driving operational excellence, cost/performance optimization, and self-service analytics at scale. You’ll partner closely with analysts, data scientists, and platform engineers to harden our foundations and enable better decision-making across the company.
Requirements
• Deep knowledge of data engineering and analytics engineering workflows at scale, with a track record of operational excellence
• Expert with dbt (core or Cloud): model design, incremental strategies, macros/packages, testing, documentation, CI/CD
• Strong SQL and warehouse design for BigQuery (partitioning, clustering, materializations, cost/perf tuning at multi-TB/PB scale)
• Experience with orchestration (Dagster preferred; Airflow acceptable) and production-grade deployment practices
• Familiar with data quality frameworks (e.g., dbt tests, Great Expectations, data contracts) and SLA/SLO design
• Proficient in Python for orchestration, utilities, and light data tooling; Git-based workflows
• Understanding of product telemetry, logging standards, and event modeling for web apps/SaaS
• Excellent communication and documentation; able to align analysts, engineers, and stakeholders on semantics and standards
Nice-to-haves
• Hex (or similar BI) performance tuning and governance experience
• Experience building semantic/metrics layers and catalogs (e.g., dbt exposures/semantics, OpenLineage, DataHub/Amundsen/Atlan)
• Prior work migrating dbt Cloud → Dagster or similar orchestrator
• Familiarity with AI/ML workflows and terminology
• Terraform/infra-as-code exposure on GCP
• Experience designing anomaly detection or rule-based alerting for KPIs
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
Apply tot his job
Apply To this Job