Senior Analytics Engineer at CoreWeave

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

06 May, 26

Salary

210000.0

Posted On

05 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Analytics Engineering, Data Engineering, Business Intelligence, SQL, Python, dbt, Airflow, Spark, StarRocks, Tableau, Data Modeling, Data Pipelines, BI Tools, Data Visualization, Scripting Languages, Performance Tuning

Industry

technology;Information and Internet

Description

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave 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, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. What You’ll Do: The Analytics Engineering Team turns data into impact. We build and maintain CoreWeave’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. About the role: We’re hiring a Senior Analytics Engineer to own the last mile of analytics at CoreWeave. In 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, StarRocks, 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. Who You Are: 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 StarRocks, Snowflake, BigQuery, 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. Preferred: 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. Wondering if you’re a good fit? 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. Why CoreWeave? At CoreWeave, 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 team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: 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 Our Workplace 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 California Consumer Privacy Act - California applicants only CoreWeave 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 information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Responsibilities

The Senior Analytics Engineer will build and evolve CoreWeave’s enterprise semantic layer, transforming raw data into trusted models and analytics-ready datasets. This role involves partnering with various teams to ensure data clarity and consistency for decision-making.