What Youll Do:

The Monolith AI Platform Engineering Team at CoreWeave is responsible for building and scaling the data and workflow backbone that powers the worlds most advanced engineering simulation and AI workflows our ambition is to become the superintelligent AI test lab for the engineering industry helping customers ship science faster. From highthroughput data ingestion and feature pipelines to model training and realtime inference our platform delivers the performant reliable and trustworthy data foundation trusted by the worlds largest engineering companies.

The Staff Data Engineer will own and evolve Monoliths platform data services and ETL offerings the data onboarding preparation and lineage capabilities that turn fragmented realworld engineering data into productionready training and inference pipelines. Youll partner with Product Engineering and Customerfacing teams to deeply understand client data challenges and translate them into scalable selfserve data platform features.

About the Role:

Were seeking a Staff Data Engineer who can own Monoliths data platform surface endtoend: from offline batch pipelines and large historical backfills to lowlatency realtime streaming data flows that power online inference and feedback loops. Youll define and drive our data architecture champion data quality and lineage and decide how customer data moves through Monolith from raw ingestion to governed observable and reproducible training sets.

Youll primarily work with internal teams (Product Customer Success ForwardDeployed Engineers Software Engineers Data Scientists) and step in as a domain expert when clients need deeper guidance.

In this role you will:

• Own Monoliths Data Platform & ETL Surface
• Lead the architecture and evolution of core data services for ingestion transformation validation and lineage across training and inference workloads.
• Design and maintain endtoend data models and schemas that make complex engineering simulation and telemetry data discoverable reusable and performant.
• Define standards contracts and APIs for how product teams and integrations interact with data services.
• Design & Operate Batch Streaming Pipelines
• Build and operate batch pipelines for largescale historical imports retraining data sets and migrations from legacy environments.
• Design and implement streaming pipelines (e.g. using Kafka or similar technologies) for eventdriven or realtime ingestion and transformation that support online inference monitoring and feedback loops.
• Select and integrate offtheshelf industryproven ETL / ELT technologies (e.g. workflow orchestrators ingestion frameworks transformation engines) and own their rollout and longterm operation.
• Champion Data Lineage Governance & DataOps
• Implement and maintain endtoend data lineage from source systems to derived features and model artifacts enabling reproducibility compliance and faster debugging.
• Establish DataOps practices: CI/CD for pipelines observability (metrics logs traces) and operational runbooks for data incidents.
• Help define data quality and governance standards in partnership with Security Compliance and Customer Success including support for privacy and regulatory needs (e.g. GDPRaligned flows and data residency discussions).
• Partner Across Monolith & CoreWeave
• Work with Monolith product and engineering teams (platform agents experiments reliability) to expose data services that unlock new user workflows and AI capabilities.
• Collaborate with CoreWeave infrastructure and AI platform teams to leverage storage compute and observability for reliable data flows.
• Serve as a technical escalation point for forwarddeployed and customerfacing engineers when questions go deeper than their playbooks (e.g. architecture diagrams of data flow lineage and governance constraints).

Who You Are:

• Experience & Level
• Typically 8 years of experience as a Data Engineer / Data Platform Engineer (or similar) including ownership of production data pipelines and architectural decisions.
• Demonstrated Stafflevel impact: leading critical data domains and crossteam initiatives.
• Data Engineering & Architecture
• Deep experience designing endtoend data architectures that cover ingestion storage transformation serving and observability.
• Strong handson experience with both batch and streaming pipelines:
• Batch: scheduled workloads historical backfills retraining pipelines.
• Streaming: Kafka or similar event streaming platforms plus realtime transformation patterns for lowlatency consumption.
• Proficiency with SQL and at least one major analytical database or data warehouse (e.g. PostgreSQL or similar) including schema design and performance tuning
• Proficiency with Spark Ray or similar distributed data processing frameworks.
• Solid understanding of data modeling (event logs star schemas feature tables) in multitenant SaaS or platform contexts.
• Tooling & Ecosystem
• Handson with data orchestration and ETL tooling (e.g. Airflow dbt Dagster Temporal or equivalents) and able to evaluate and recommend tools that fit our needs.
• Experience integrating and operating offtheshelf data infrastructure (not just bespoke systems) including rollout migration plans and ongoing ownership.
• Familiarity with cloud infrastructure and containerization (Docker Kubernetes at least one major cloud provider) for deploying and scaling data workloads.
• Data Lineage Quality & DataOps
• Extensive experience implementing data lineage solutions and using them for debugging compliance and auditability.
• Strong background in data quality: validation frameworks monitoring and guardrails that prevent bad data from reaching downstream consumers.
• Proficiency with DevOps / DataOps practices: infraascode CI/CD for pipelines runbooks and participation in oncall / incident response for data issues.
• Programming Systems & Communication
• Strong programming skills in Python for building data services transformations and platform integrations with an emphasis on maintainability and tests.
• Comfortable working in serviceoriented architectures reasoning about data contracts SLAs and failure modes across services.
• Clear written and verbal communicator who can:
• Explain data architectures and tradeoffs to internal stakeholders and
• Occasionally join client conversations as a deep domain expert to answer questions about data flows security and governance (e.g. with CIOs heads of data or security counterparts) while daytoday client interaction is handled by forwarddeployed teams.

Preferred:

• Experience in ML/AI platforms or MLOps environments where data pipelines feed experimentation training and inference workflows at scale.
• Background with timeseries simulation or experimental data (e.g. physical test benches sensors engineering simulations).
• Familiarity with feature stores experiment tracking systems or model registries and their integration with upstream pipelines.
• Experience designing data systems for regulated or safetycritical domains including privacy residency and retention considerations.

Wondering if youre 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 arent a 100% skill or experience match. If some of this describes you wed love to talk:

• Productminded you design data platforms and pipelines that are intuitive to use and unlock real workflows for engineers and customers.
• Systems thinker you enjoy mapping complex data flows understanding failure modes and building robust observable systems.
• Pragmatic you balance solid engineering with shipping value quickly knowing when to invest in abstractions and when to deliver incremental improvements.
• Collaborative owner you partner well across engineering product and customerfacing teams and you feel responsible for outcomes not just code.

Why CoreWeave

At CoreWeave we work hard have fun and move fast! Were in an exciting stage of hypergrowth that you will not want to miss out on. Were not afraid of a little chaos and were 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 BestinClass Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking and foster an environment that encourages collaboration and innovative solutions to complex problems. As we get set for takeoff the organizations growth opportunities 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!

To fulfil our obligation to protect client data successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results

What We Offer

In addition to a competitive salary we offer a variety of benefits to support your needs including:

• Family-level Medical Insurance
• Family-level Dental Insurance
• Generous Pension Contribution
• Life Assurance at 4x Salary
• Critical Illness Cover
• Employee Assistance Programme
• Tuition Reimbursement
• Work culture focused on innovative disruption

Benefits may vary by location.

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

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.

CoreWeave does not accept speculative CVs. Any unsolicited CVs received will be treated as the property of CoreWeave and your Terms & Conditions associated with the use of CVs will be considered null and void.

Any unsolicited CVs sent by your company to us that is to say in any situation where we have not directly engaged your company in writing to supply candidates for a specific vacancy will be considered by us to be a free gift leaving us liable for no fees whatsoever should we choose to contact the candidate directly and engage the candidates services and will in no way establish any prior claim by your company to representation of that candidate should the candidates details also be submitted by any other party.

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.

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Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Where permitted by applicable law we may also retain your personal data for a limited period after the recruitment process ends in order to consider you for future job opportunities respond to legal claims or comply with record-keeping obligations. Under the GDPR and the UK GDPR you have the right to request access to your personal data to request that your personal data be rectified or erased and to request that processing of your personal data be restricted. You also have the right to data addition you may lodge a complaint with the relevant supervisory authority: (i) A list of Europes data protection authorities can be found here; and (ii) for the UK this is the Information Commissioners Office.

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