Senior Data Engineer, Fleet Monitoring & Analysis

The Fleet Monitoring and Analysis (FMA) team builds and operates the forward-deployed monitoring and observability layer for CoreWeaves ever-expanding global hardware fleet; continually improving node and environmental visibility to support automated provisioning and high-reliability operations.

As a Senior Data Engineer you will own and evolve the data lake and analytics stack that powers observability and decision-making for CoreWeaves global hardware fleet. Youll maintain monitor and upgrade our data lake infrastructure (Apache Iceberg Trino Apache Airflow Apache Spark Apache Superset) and ETL pipelines while delivering ad-hoc analysis and executive-ready reporting for team director and leadership stakeholders. Youll also create visualizations documentation and integrations that make fleet monitoring data reliable discoverable and actionable across the organization.

• Design develop and maintain robust and scalable data pipelines to collect process and store data from various sources including APIs databases and third-party services.
• Maintain monitor and upgrade CoreWeaves data lake infrastructure including Apache Iceberg the Trino query layer Apache Airflow Apache Spark and Apache Superset.
• Maintain monitor and upgrade ETL/ELT pipelines to ensure reliable performant and observable data flows across batch and (where applicable) streaming workloads.
• Create and optimize data models and data products to support analytics and reporting ensuring data accuracy consistency and performance.
• Provide ad-hoc analysis and reporting for team director and executive-level stakeholders translating business questions into data-driven insights and clear narratives.
• Create visualizations and dashboards (e.g. in Apache Superset or similar tools) that surface key metrics trends and operational KPIs for a variety of internal audiences.
• Develop and maintain documentation and runbooks for data pipelines data lake infrastructure data models and usage patterns to support knowledge sharing and troubleshooting.
• Implement data security and governance best practices to protect sensitive information and comply with data privacy regulations.
• Collaborate with cross-functional teams to integrate data into applications and analytics platforms helping to visualize performance metrics and identify opportunities for improvement.

• Bachelors degree in Computer Science Engineering or a related field.
• 4 - 7 years of experience as a Data Engineer or in a similar data-focused role in a fast-paced environment.
• Strong SQL skills for data manipulation modeling and querying large datasets.
• Proficiency in at least one programming language commonly used for data engineering such as Python Java or Scala.
• Hands-on experience with data pipeline orchestration tools (e.g. Apache Airflow) and big data technologies (e.g. Apache Spark).
• Experience designing operating and optimizing data lake and/or data warehouse solutions with a solid understanding of data modeling and performance tuning.
• Knowledge of cloud platforms (e.g. AWS GCP Azure) and related data services (e.g. object storage managed databases analytics services).
• Familiarity with database systems (e.g. SQL and NoSQL) and data warehousing concepts including partitioning indexing and schema design.
• Experience building maintaining and monitoring ETL/ELT pipelines in production environments including alerting and observability.
• Experience creating and maintaining reporting and analytics solutions (dashboards reports and metrics) for technical and non-technical audiences.

• Experience with modern data lakehouse technologies and table formats such as Apache Iceberg (or similar technologies like Delta Lake or Apache Hudi).
• Experience with Trino or other distributed SQL query engines at scale.
• Experience with Apache Superset or other BI/visualization tools for building self-service analytics.
• Experience with data quality frameworks data observability tooling and/or metadata management.
• Experience supporting executive-level reporting and KPI design in partnership with business and finance stakeholders.

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. Here are a few qualities weve found compatible with our team. If some of this describes you wed love to talk.

• You love owning data infrastructure end-to-endfrom ingestion and modeling to analytics and visualization.
• Youre curious about modern data lake and lakehouse architectures and enjoy working with open-source data tooling.
• Youre an expert at turning loosely defined business questions into concrete data products metrics and dashboards that drive decisions.

The base salary range for this role is $153000 to $204000. 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 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 weve 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. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations benefits vary and are shared during the hiring process. These include:

• 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

California Applicants

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Equal Opportunity & Accommodations

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: .

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.