Senior Analytics Engineer

Overview

Core Weave is The Essential Cloud for AI™. Built for pioneers by pioneers, Core Weave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, Core Weave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, Core Weave became a publicly traded company (Nasdaq: CRWV) in March 2025.

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The Analytics Engineering Team turns data into impact. We build and maintain Core Weave’s enterprise semantic layer, which serves as the foundation for decision-making, AI, and operational insight across the company. By shipping modeled, documented, and governed data products we drop the barrier to entry for business intelligence and data science through the floor empowering users across the business to move faster and smarter.

We’re hiring a Senior Analytics Engineer to own the last mile of analytics  this role, you’ll build and evolve our enterprise semantic layer - transforming raw data into trusted models, metrics, and analytics-ready datasets used by leaders and teams across the company. You’ll work across the full analytics stack, using tools like dbt, Airflow, Spark, Star Rocks, Tableau, and Omni to deliver everything from executive dashboards and AI analyst agents to well-defined, reusable data models.

You’ll partner closely with data engineering, finance, product, and operations to define shared business logic and ensure data is clear, consistent, and decision-ready. This is a high-ownership role for someone who wants to shape how the company understands its data and how decisions get made.

• You thrive in a fast-paced, complex, work environment and you love tackling hard problems.
• 7+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence, with ownership of production analytics systems.
• 3+ years of hands-on experience modeling analytics-ready data using dbt with SQL and/or Python.
• Expert-level SQL, including writing, optimizing, and debugging complex analytical queries.
• Deep experience querying MPP analytical databases such as Star Rocks, Snowflake, Big Query, or Redshift.
• Strong experience with one or more modern BI tools (e.g., Omni, Tableau, Looker, Power BI), including building semantic models, reusable metrics, and executive dashboards to enable consistent, self-serve analytics.
• Hands-on experience orchestrating data pipelines with Airflow, Dagster, or equivalent.
• Working proficiency in at least one scripting language (e.g., Python, Bash, R, or Julia).
• Proven ability to translate complex data into trusted models, metrics, and visualizations used by senior stakeholders.

• Experience building and operating production data pipelines or data platforms, with strong software engineering practices (testing, CI/CD, code review).
• Deep hands-on experience with stream processing and transport systems (e.g., Flink, Kafka), including performance tuning and failure debugging.
• Familiarity with open table formats such as Iceberg, Hudi, Delta, or Paimon, including an understanding of how they impact data modeling, reliability, and analytics performance.

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• You love owning the last mile - taking ambiguous business questions and turning them into clear, trusted models, metrics, and insights people actually use.
• You care deeply about engineering excellence - clean code, thoughtful abstractions, testing, and reliability matter to you, even in analytics work.
• You’re curious about how the business really works - you want to understand the “why” behind the numbers, not just produce them.

At Core Weave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you…