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Data Storage Engineer Jobs in California (NOW HIRING)

Crusoe

Senior Production Engineer, Storage

Sunnyvale, CA · On-site

$170/hr

You will drive reliability initiatives focused on data replication, encryption, backup and restore strategies, and robust failover mechanisms. Collaborating closely with storage engineers, you will ...

Crusoe

Senior Production Engineer, Storage

Sunnyvale, CA · On-site

$170K/yr

You will drive reliability initiatives focused on data replication, encryption, backup and restore strategies, and robust failover mechanisms. Collaborating closely with storage engineers, you will ...

Methodic

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Methodic is seeking a Data Engineer to design and manage data pipelines and storage solutions for their platform. This role involves ensuring efficient and accurate data storage, enabling analytics ...

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How much do data storage engineer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data storage engineer in California is $55.47, according to ZipRecruiter salary data. Most workers in this role earn between $46.01 and $65.48 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data storage engineer?

To thrive as a Data Storage Engineer, you need a deep understanding of storage architectures (SAN, NAS, DAS), data management, and backup and recovery strategies, typically supported by a degree in computer science or a related field. Experience with enterprise storage systems (such as NetApp, EMC, or Dell), storage networking protocols, and certifications like SNIA or vendor-specific credentials is highly valued. Strong problem-solving skills, attention to detail, and effective communication are key soft skills for excelling in this role. These abilities ensure the reliable management, security, and availability of critical data assets for organizations.

What are common challenges data storage engineers face, and how do they typically address them?

Data Storage Engineers often encounter challenges such as managing rapidly growing data volumes, ensuring high availability, and implementing robust backup and disaster recovery solutions. To overcome these, they proactively monitor storage environments, optimize configurations, and stay updated on the latest storage technologies and best practices. Collaboration with IT, network, and security teams is essential to address performance issues, data migrations, and system upgrades. By balancing immediate technical needs with long-term scalability and security, they help organizations safeguard and efficiently utilize their data resources.

What is a data storage engineer?

A Data Storage Engineer is responsible for designing, implementing, and managing data storage solutions to ensure efficient, secure, and scalable data access. They work with technologies like SAN, NAS, cloud storage, and backup systems to optimize data performance and availability. Their role includes troubleshooting storage issues, maintaining data integrity, and collaborating with IT teams to support business needs.

Data Storage Engineer jobs near you
Infographic showing various Data Storage Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $115,385 per year, or $55.5 per hour.

Senior Storage Engineer II, File & Block

Socket.dev

Sunnyvale, CA • On-site

$140 - $210/hr

Other

Posted 8 days ago

Job 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:

We're looking for a Senior Storage Engineer, File & Block to help build and operate the file and block storage services at the heart of CoreWeave's Storage team — the high-performance, multi-tenant storage that our largest AI training and inference workloads and internal stateful services run on. You'll help turn CoreWeave's storage from a follower of GPU growth into a multiplier of it: owning the data path and control plane for both file and block, running them on our own hardware fleet, and shipping the customer-facing capabilities that unblock petabyte-scale deals. You'll work closely with compute, platform, and infrastructure teams to make storage fast, reliable, and effortless to consume at scale.

About the role:

Design, build, and operate highly scalable, multi-tenant file and block storage — from the data path (NFS for file; durable, high-performance block volumes) to the control plane that governs tenancy, provisioning, and data protection — running natively on CoreWeave's storage fleet and delivered through Kubernetes.

  • Own the file system data path: NFS hot-path reliability, IO resilience, and performance — including the small-file / IOPS-heavy workloads that AI pipelines depend on, and the throughput that keeps GPUs fed.
  • Build a native block storage service: durable, high-performance block volumes for customer workloads and internal stateful services — the third leg of the file/object/block triad, running on our own data path and shared storage hardware.
  • Deliver both file and block as first-class Kubernetes citizens: design and ship a backend-neutral CSI driver with dynamic provisioning, resize, snapshots, and RWO block volumes, backed by a public provisioning SLO — reusing shared control-plane and CSI patterns across file and block rather than rebuilding per service.
  • Build the control plane: multi-tenant isolation, quota, QoS, snapshots, key management (BYOK), audit, and lifecycle policy — the capabilities that unblock regulated and enterprise customers (e.g., encryption in transit, HIPAA controls).
  • Improve the reliability, durability, and observability of the storage stack; partner with operations to monitor, analyze, and optimize using telemetry, metrics, and dashboards to improve performance, latency, and resilience.
  • Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage across the stack, including tiering cold data to lower-cost object storage while preserving access.
  • Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.
  • Work with technologies such as RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize storage performance and efficiency.
  • Participate in efforts to improve the reliability, durability, and observability of our storage stack.
  • Collaborate with operations teams to monitor, analyze, and optimize storage systems using telemetry, metrics, and dashboards to improve performance, latency, and resilience.
  • Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.
  • Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.
  • Build the native block storage service: durable, high-performance block volumes for customer workloads and internal stateful services — the third leg of the file/object/block triad, running on our own data path and shared storage hardware.
  • Deliver both file and block as first-class Kubernetes citizens: design and ship a backend-neutral CSI driver with dynamic provisioning, resize, snapshots, and RWO block volumes, backed by a public provisioning SLO — reusing shared control-plane and CSI patterns across file and block rather than rebuilding per service.
  • Build the control plane: multi-tenant isolation, quota, QoS, snapshots, key management (BYOK), audit, and lifecycle policy — the capabilities that unblock regulated and enterprise customers (e.g., encryption in transit, HIPAA controls).
  • Improve the reliability, durability, and observability of the storage stack; partner with operations to monitor, analyze, and optimize using telemetry, metrics, and dashboards to improve performance, latency, and resilience.
  • Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage across the stack, including tiering cold data to lower-cost object storage while preserving access.
  • Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.
Who You Are:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 6–10 years building storage systems, distributed systems, or infrastructure services.
  • Strong hands‑on experience with distributed or networked file systems and/or block storage in production — e.g., NFS/POSIX file semantics at scale, and/or block volume services (durability, snapshots, replication).
  • Depth in the storage data path: IO performance, caching, small-file and metadata-heavy workloads, crash consistency, and resilience under load.
  • Experience with multi‑tenant services or storage control planes — provisioning, tenancy/quota, and data‑protection features (snapshots, encryption, key management).
  • Proficiency in a systems/back‑end language — Go strongly preferred (C or Rust a plus).
  • Experience building on Kubernetes — controllers/operators, CRDs, and CSI (dynamic provisioning, resize, snapshots, RWO volumes).
  • Familiarity with distributed databases (e.g., CockroachDB), workflow orchestration (e.g., Temporal), and gRPC/Protobuf service design.
  • Ideally, experience with distributed or parallel storage stacks such as Ceph/RBD, Lustre, GPFS/Spectrum Scale, BeeGFS, WEKA, VAST, or DAOS.
  • Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana).
  • Bonus: exposure to high‑performance data‑path technologies (RDMA, GPUDirect Storage, RoCE, InfiniBand, SPDK).
  • Strong debugging and problem‑solving skills in distributed, high‑performance environments.
  • Clear communicator, able to work collaboratively across teams and share technical insights effectively.
  • Build a native block storage service: durable, high‑performance block volumes for customer workloads and internal stateful services — the third leg of the file/object/block triad, running on our own data path and shared storage hardware.
  • Deliver both file and block as first‑class Kubernetes citizens: design and ship a backend‑neutral CSI driver with dynamic provisioning, resize, snapshots, and RWO block volumes, backed by a public
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