Analytics Engineer - Weights & Biases

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.

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 our 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.

• 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 Big Query (partitioning, clustering, materializations, cost/performance 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.

• Hex (or similar BI) performance tuning and governance experience.
• Experience building semantic/metrics layers and catalogs (e.g., dbt exposures/semantics, Open Lineage, Data Hub/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.

We work hard, have fun, and move fast! We’re in an exciting stage of hyper‑growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning.

Our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best‑in‑Class Client Experiences
• Achieve More Together

Base salary range: $139,000 to $204,000.

In addition to a competitive salary, we offer a variety of benefits.

• Medical, dental, and vision insurance – 100% paid for by Core Weave
• Company‑paid Life Insurance
• Voluntary supplemental life insurance
• Short and long‑term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• 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

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month.

Teams also gather quarterly to support collaboration.

Core Weave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic…