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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Data Engineer - Data Engineering - **Company:** Coreweave Inc - **Location:** Sunnyvale, CA, United States - **Experience:** Expert - **Salary:** $207,000 - $275,000 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Data Analysis, Apache HTTP Server, Cloud Computing, Profiling, Computer Programming, Data Architecture, Information Engineering, Data Files, Data Systems, Data Vault Modeling, Distributed Systems, Python (Programming Language), Meta-Data Management, Online Analytical Processing, Requirements Management, Scala (Programming Language), Software Engineering, SQL Databases, Apache Spark, Data Layers, Event Driven Architecture, Data Lakes, Core Data, Kubernetes, Apache Flink, Apache Kafka, Data Management, Vertica, Semantic Modeling - **Published:** November 6, 2026 - **Apply:** https://www.careerbuilder.com/job-details/staff-data-engineer-data-engineering-sunnyvale-ca--9e643c7f-1cc6-4a30-a724-6a92c2af8354 ## About the Role Startup, Cloud Computing, Artificial Intelligence (AI), Finance, Data Management, Data Sets, Systems Scalability, Data Analysis, Ecosystems, Requirements Management, * 10+ years of experience in data engineering, software engineering, distributed systems, or data architecture roles. * Demonstrated experience setting technical direction for data systems spanning multiple teams, business domains, or platforms. * Deep expertise in enterprise analytical modeling, including dimensional, Data Vault, semantic modeling, and governed metrics. * Experience designing and operating large-scale lakehouse or streamhouse architectures using technologies such as Apache Iceberg, Delta Lake, Apache Hudi, Apache Paimon, or Apache Fluss. * Advanced knowledge of distributed OLAP, query, processing, and ingestion systems such as StarRocks, ClickHouse, Trino, Spark, Flink, or Kafka. * Expert-level SQL and strong programming expertise in Python, Scala, Java, or Rust, with experience building production-grade data systems. * Demonstrated experience implementing governance capabilities such as lineage, profiling, metadata management, data quality controls, access policies, or auditability. * Demonstrated ability to independently turn ambiguous problem statements into clear technical direction and execution plans. * Track record of leading cross-cutting architecture and establishing standards adopted across multiple engineering teams. Preferred: * Experience designing data systems that support compliance programs such as SOX, GDPR, MNPI, and PII controls. * Experience operating event-driven architectures using Kafka, AutoMQ, Pulsar, or similar streaming platforms. * Experience running data-intensive workloads on Kubernetes. * Experience in high-growth cloud, infrastructure, or distributed-systems organizations. 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 designing, implementing, and operating data platforms and distributed systems at extreme scale. * You''re energized by solving ambiguous, cross-domain technical problems and turning them into clear, durable solutions. * You enjoy raising the quality of engineering through thoughtful architecture, standards, and mentorship. ## Description We''re seeking a Staff Data Engineer to define and drive the architecture of CoreWeave''s enterprise data ecosystem. You will establish the modeling, semantic, governance, and platform standards that enable teams to build trusted and reusable data products at scale. Day-to-day, you''ll lead cross-domain architecture, solve the organization''s most complex data design challenges, and partner with senior engineers and stakeholders to translate business requirements into durable technical systems. This role combines deep hands-on engineering expertise with company-wide technical leadership across our modern lakehouse platform. In this role, you will: * Define the company-wide strategy for data modeling, semantic layers, enterprise metrics, and reusable data products. * Set architectural standards for CoreWeave''s lakehouse, including data organization, schemas, metadata, governance, and serving patterns. * Design scalable frameworks for data quality, lineage, observability, access control, and policy enforcement. * Lead the architecture of complex, cross-domain data systems spanning operational, financial, product, people, and infrastructure data. * Establish durable data contracts, system boundaries, and reusable engineering patterns across teams. * Identify and resolve systemic performance, reliability, and scalability constraints across the data ecosystem. * Lead architecture reviews for high-impact initiatives and ensure alignment with the broader platform strategy. * Evaluate and standardize core data technologies across processing, orchestration, cataloging, modeling, and metadata management. * Mentor senior engineers and raise the quality of system design and technical decision-making across the organization.