Weights & Biases · 7 hours ago
Analytics Engineer - Weights & Biases
Weights & Biases, part of CoreWeave, is focused on empowering developers with tools and infrastructure to enhance AI capabilities. The Data Analytics Engineer will be responsible for managing the analytics engineering layer, optimizing performance, and collaborating with various teams to improve decision-making processes across the organization.
Artificial Intelligence (AI)Data VisualizationDeveloper ToolsGenerative AIMachine Learning
Responsibilities
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
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
Qualification
Required
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
Preferred
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
Company
Weights & Biases
Weights & Biases is a developer-first MLOps platform that builds machine learning performance visualization tools.
Funding
Current Stage
Growth StageTotal Funding
$250MKey Investors
NVIDIAInsight PartnersCoatue
2025-03-04Acquired
2023-09-01Secondary Market
2023-08-09Series Unknown· $50M
Recent News
2025-11-04
2025-11-01
Company data provided by crunchbase