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Market Data Infrastructure Engineer 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 ...

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 ...

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 ...

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.

NetApp, Inc.

$127K - $151K/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 ...

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 ... ProficiencyinSQLand one programming language commonly used for data engineering (Python preferred;

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 ...

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 ...

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Market Data Infrastructure Engineer information

See salary details

$46.5K

$127.1K

$182K

How much do market data infrastructure engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for market data infrastructure engineer in the United States is $127,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $141,000.00 per year, depending on experience, location, and employer.

What is a market data infrastructure engineer?

A Market Data Infrastructure Engineer is a technology professional who designs, builds, and maintains the systems that deliver real-time and historical financial market data to trading platforms and other applications. Their work ensures that traders, analysts, and automated systems receive accurate and timely data from exchanges and other sources. They focus on optimizing data feeds, managing latency, and ensuring the reliability and scalability of data delivery. This role often involves working with specialized hardware, low-latency networking, and various data protocols used in the financial industry.

What are the key skills and qualifications needed to thrive as a market data infrastructure engineer, and why are they important?

To thrive as a Market Data Infrastructure Engineer, you need expertise in networking, low-latency systems, and market data protocols, often supported by a degree in computer science or a related field. Familiarity with market data platforms like Bloomberg, Reuters, and technologies such as multicast, FIX, and scripting languages is typically required. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills in this role. These skills ensure reliable, high-performance delivery of financial data, which is critical for trading operations and decision-making in financial institutions.

What are some typical challenges faced by market data infrastructure engineers when supporting real-time trading environments?

Market Data Infrastructure Engineers often encounter challenges such as ensuring low-latency data delivery, maintaining high system reliability, and troubleshooting complex connectivity issues in real-time trading environments. They must continuously monitor and optimize data feeds to prevent bottlenecks and downtime, which can have significant financial consequences. Additionally, collaborating closely with network engineers, traders, and software developers is essential to quickly resolve problems and implement enhancements that meet evolving business needs.

What are popular job titles related to Market Data Infrastructure Engineer jobs?

For Market Data Infrastructure Engineer jobs, the most frequently searched job titles are:

Infographic showing various Market Data Infrastructure Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $127,066 per year, or $61.1 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

Re-posted yesterday

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

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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