# Senior Data Engineer, Fleet Monitoring & Analysis

**Company**: CoreWeave
**Location**: Livingston, NJ / New York, NY / Sunnyvale, CA / San Francisco, CA / Bellevue, WA
**Experience**: senior
**Job type**: full-time
**Salary**: $153,000 to $204,000
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/coreweave/jobs/4695359006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_6c41e2e5-bc6

## 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.

The Fleet Monitoring and Analysis (FMA) team builds and operates the forward-deployed monitoring and observability layer for CoreWeave's 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 CoreWeave's global hardware fleet. You'll 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. You'll also create visualizations, documentation, and integrations that make fleet monitoring data reliable, discoverable, and actionable across the organization.

## Responsibilities:

- 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 CoreWeave's 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.

## Requirements:

- Bachelor's 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.

## Preferred Qualifications:

- 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.

## What We Offer:

- Base salary range: $153,000 to $204,000

- Discretionary bonus

- Equity awards

- Comprehensive benefits program, 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

## Skills

### Required
- SQL
- Python
- Java
- Scala
- Apache Airflow
- Apache Spark
- Data Lake
- Data Warehouse
- Cloud Platforms

### Nice to have
- Apache Iceberg
- Trino
- Apache Superset
- Data Quality Frameworks
- Data Observability Tooling
- Metadata Management

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/coreweave/jobs/4695359006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
