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Data Infrastructure Jobs (NOW HIRING)

NetApp

Intelligent Data Infrastructure Engineer

San Jose, CA · On-site

$202K - $239K/yr

Job Summary We are seeking an Intelligent Data Infrastructure Engineer to design, develop, and optimize the core software that powers next-generation data infrastructure for enterprise and AI ...

Lyric

Sr. Data Infrastructure Engineer

$125K - $187K/yr

The Senior Data Infrastructure Engineer designs, builds, and scales reliable data platforms that power online transaction processing, analytics, machine learning, and business intelligence. This role ...

Invid, Llc.

$84K - $101K/yr

Job Summary We are seeking a talented and driven Data Infrastructure Engineer to support the modernization of the client's data infrastructure and drive enterprise-wide data excellence. In this role ...

Guidehouse

Data Infrastructure Engineer

$117K - $140K/yr

Ability to Obtain Public Trust We are seeking aData Infrastructure Engineerto build andoperatethe data platform that powersAI/ML analytics modules. You will design and implement scalabledata ...

Sequoia Connect

Data Infrastructure Architect

Atlanta, GA · Remote

$65.25 - $84/hr

We are currently searching for a Data Infrastructure Architect: The Challenge (Responsibilities) * Architect and implement scalable batch and near-real-time data pipelines using Python, PySpark, Glue ...

1872 Consulting

Infrastructure & Data Engineer

Soquel, CA · On-site

$115K - $150K/yr

Job Summary : 1872 Consulting is seeking an Infrastructure & Data Engineer to enhance their data infrastructure. The role involves creating and optimizing ETL and data pipelines, building scalable ...

OpenAI

Software Engineer, Data Infrastructure

Manhattan, NY · On-site

$126K - $151K/yr

We're not just scaling infrastructure - we're redefining how people interact with data. Our vision includes intelligent interfaces and AI-assisted workflows that make working with data faster, more ...

OpenAI

Software Engineer, Data Infrastructure

Seattle, WA · On-site

$130K - $156K/yr

We're not just scaling infrastructure - we're redefining how people interact with data. Our vision includes intelligent interfaces and AI-assisted workflows that make working with data faster, more ...

INVID

Data Infrastructure Engineer

San Juan, PR · On-site

$110K - $132K/yr

Job Summary We are seeking a talented and driven Data Infrastructure Engineer to support the modernization of the client's data infrastructure and drive enterprise-wide data excellence. In this role ...

Sequoia Connect

Data Infrastructure Architect

Mountain View, CA · On-site +1

$75.25 - $96.75/hr

We are currently searching for a Data Infrastructure Architect: The Challenge (Responsibilities) * Architect and implement scalable batch and near-real-time data pipelines using Python, PySpark, Glue ...

Invid, Llc.

Data Infrastructure Engineer

San Juan, PR · On-site

$110K - $132K/yr

Job Summary We are seeking a talented and driven Data Infrastructure Engineer to support the modernization of the client's data infrastructure and drive enterprise-wide data excellence. In this role ...

WorkBay

Data & Infrastructure Engineer

Draper, UT · On-site

$107K - $128K/yr

Position Overview We are seeking a skilled and motivated Data & Infrastructure Engineer to own and evolve the data platform that powers WorkBay's operations, analytics, and strategic decision-making.

Sequoia Connect

Data Infrastructure Architect

Atlanta, GA · On-site +1

$61.25 - $78.75/hr

We are currently searching for a Data Infrastructure Architect: The Challenge (Responsibilities) * Architect and implement scalable batch and near-real-time data pipelines using Python, PySpark, Glue ...

Guidehouse

Data Infrastructure Engineer

$117K - $140K/yr

Ability to Obtain Public Trust We are seeking a Data Infrastructure Engineer to build and operate the data platform that powers AI/ML analytics modules. You will design and implement scalable data ...

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$25K

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$195.5K

How much do data infrastructure jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data infrastructure in the United States is $123,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $156,000.00 per year, depending on experience, location, and employer.

What is a data infrastructure?

A Data Infrastructure job focuses on designing, building, and maintaining the systems that store, process, and manage data for an organization. This includes databases, data pipelines, cloud storage, and data processing frameworks to ensure efficient data flow and accessibility. Professionals in this role work with technologies like SQL, NoSQL, Hadoop, Spark, and cloud platforms to support data engineers, analysts, and scientists. The goal is to provide a scalable, reliable, and secure foundation for handling large volumes of data.

What are some typical challenges faced in a data infrastructure role and how are they addressed?

Professionals in Data Infrastructure often face challenges such as scaling systems to handle growing data volumes, ensuring data security, and maintaining high availability. Addressing these requires proactive system monitoring, automation, regular performance tuning, and implementing best practices for backup and disaster recovery. Collaboration with data engineering, analytics, and IT security teams is essential to resolve bottlenecks and optimize data flows. Staying current with emerging technologies also helps in innovating and improving existing infrastructure over time.

What are the key skills and qualifications needed to thrive in the data infrastructure position, and why are they important?

To thrive in Data Infrastructure, you need a solid understanding of data architecture, database management, and distributed systems, often supported by a degree in computer science or a related field. Proficiency with tools such as SQL, Hadoop, Spark, AWS, and certifications like Google Cloud Professional Data Engineer are highly valued. Strong problem-solving abilities, effective teamwork, and clear communication help professionals excel in this collaborative and fast-evolving area. These skills ensure robust, scalable data systems that support reliable analytics and decision-making across the organization.

What are data infrastructure roles?

Data infrastructure roles involve designing, building, and maintaining the systems and tools that store, process, and manage data within an organization. These roles often require knowledge of databases, cloud platforms, data pipelines, and scripting languages, and they support data accessibility and security for analytics and decision-making.
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Data Infrastructure jobs near you
Infographic showing various Data Infrastructure job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $123,312 per year, or $59.3 per hour.

Intelligent Data Infrastructure Engineer

San Jose, CA • On-site

NetApp
IT Services • 10K+ employees
Learn more about NetAppexternal

$202K - $239K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 29 days ago

Key responsibilities

  • Design and develop core infrastructure software for intelligent data platforms, including storage, data management, caching, metadata services, and distributed systems.

  • Build and optimize data movement, replication, protection, and lifecycle management capabilities.

  • Collaborate with hardware, platform, networking, and cloud engineering teams to deliver end-to-end infrastructure solutions.

NetApp rating

9.4

Company rating: 9.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

2nd of 501 rated business services

Job description

Job Summary

We are seeking an Intelligent Data Infrastructure Engineer to design, develop, and optimize the core software that powers next-generation data infrastructure for enterprise and AI workloads. The ideal candidate has deep expertise in systems programming using C, a strong understanding of operating system internals, distributed systems, and data infrastructure, and is familiar with modern AI agents and AI-native development workflows.

This role focuses on building scalable, high-performance infrastructure that manages, protects, and accelerates data across on-premises, cloud, and AI environments.

Key Responsibilities

 

  • Design and develop core infrastructure software for intelligent data platforms, including storage, data management, caching, metadata services, and distributed systems.
  • Develop high-performance, reliable software in C, C++, Python with an emphasis on scalability, efficiency, and resiliency.
  • Build and optimize data movement, replication, protection, and lifecycle management capabilities.
  • Design infrastructure that supports AI/ML pipelines, large language model (LLM) training, inference, and retrieval-augmented generation (RAG) workloads.
  • Collaborate with hardware, platform, networking, and cloud engineering teams to deliver end-to-end infrastructure solutions.
  • Optimize system performance through profiling, benchmarking, and low-level software optimization.
  • Leverage modern AI agents to improve software development, testing, debugging, documentation, and operational automation.
  • Participate in architecture reviews, code reviews, and technical design discussions.
  • Develop automated testing, observability, and reliability frameworks.
Skills and Qualifications

Required Skills

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
  • 12+ years of experience developing systems software, operating systems, storage platforms, or distributed infrastructure.
  • Expert-level programming skills in C/C++, Python
  • Strong understanding of:
    • Operating systems
    • Memory management
    • Multithreading and concurrency
    • Networking fundamentals
    • Distributed systems
    • Performance optimization
  • Experience developing software on Linux.
  • Strong debugging and performance analysis skills.

Preferred Qualifications

  • Experience with storage systems, file systems, object storage, distributed data platforms, or cloud infrastructure.
  • Knowledge of AI infrastructure and data pipelines supporting GPU clusters and large-scale AI workloads.
  • Experience with  Rust, Go.
  • Familiarity with Kubernetes, containers, and cloud-native architectures.
  • Experience using AI coding assistants and autonomous AI agents (such as GitHub Copilot, OpenAI Codex, Claude Code, or similar tools) to accelerate software development, testing, and debugging.

Desired Skills

  • Strong systems thinking and software architecture skills.
  • Excellent analytical and problem-solving abilities.
  • Passion for building high-performance infrastructure software.
  • Effective communication and collaboration skills.
  • Ability to work across cross-functional engineering teams.

Compensation:
The target salary range for this position is 196,350 - 292,600 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. 

What NetApp employees say

Pay

Hours and flexibility

Workplace

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About NetApp

Sourced by ZipRecruiter

The NetApp portfolio of leading data, application, and storage solutions helps organizations manage applications and data everywhere across hybrid multicloud environments. Our 30 years of innovation have made us the proven leader in all-flash storage. We have the only enterprise-grade storage OS available natively on the world’s biggest public clouds. Our data services offer the best security and protection in the industry. We have CloudOps services that will revolutionize how you work in the cloud. And that’s just scratching the surface. In a world of hybrid multicloud complexity, we envision a better IT experience—an evolved cloud state where on-premises and cloud environments are united as one, always delivering simplicity, security, savings, and sustainability. To get you there, we build solutions that drive faster innovation wherever your data and applications live, with unified management and AI-driven optimization. No walled gardens. No lock-in. You get the freedom to do what’s best for your business today and the flexibility to adapt to whatever tomorrow throws at you.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Sunnyvale, CA, US

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