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Data Infrastructure Jobs (NOW HIRING)

Data Infrastructure Engineer

Los Angeles, CA ยท On-site

$115K - $151K/yr

As a Data Infrastructure Engineer, you will lead the development of fundamental data systems and infrastructure. These systems are essential for powering our innovative applications, including Avatar ...

Role Summary The Senior Data Infrastructure Engineer will lead the engineering, integration, and sustainment of enterprise-grade data infrastructure for mission partner environments. This role is ...

Data Infrastructure

San Francisco, CA ยท On-site

$200K - $350K/yr

Data Infrastructure Engineer As an expert in building large-scale data processing systems, you will build the foundation of how our data flows from acquisition to being used to improve the autonomous ...

Data Infrastructure Engineer

San Francisco, CA ยท On-site

$140K - $180K/yr

About the Role As a Data Infrastructure Engineer , you will build the backend and hardware architecture that allows us to do high-quality and fast research. You'll be owning our entire data lifecycle ...

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 ...

Data Infrastructure Architect

Manhattan, NY ยท On-site

$69.75 - $89.75/hr

The Data Infrastructure Architect will design, implement, and manage MOCJ's data architecture to support secure, scalable, and reliable data access, storage, integration, and analysis. This role will ...

New

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 ...

Software Engineer, Data Infrastructure

$117K - $140K/yr

Figma is a company on a mission to make design accessible to all, and they are seeking a Software Engineer for their Data Infrastructure team. This role involves designing and building large-scale ...

Data & Infrastructure Engineer

Draper, UT ยท 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.

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Data Infrastructure information

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$25K

$123.3K

$195.5K

How much do data infrastructure jobs pay per year?

As of Jul 10, 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 engineers make $500,000?

Senior data infrastructure engineers, especially those with extensive experience, expertise in cloud platforms, and advanced skills in data architecture and distributed systems, can earn $500,000 or more annually. High compensation often involves working in large tech companies, leading complex projects, or holding executive-level roles such as Director or VP of Data Infrastructure.

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 does a data infrastructure engineer do?

A data infrastructure engineer designs, builds, and maintains the systems and tools that store, process, and manage large volumes of data. They work with technologies like cloud platforms, databases, and data pipelines to ensure data is accessible, reliable, and secure for analytics and business operations.

What is the highest paying data job?

The highest paying data jobs typically include Data Engineering Manager, Data Architect, and Chief Data Officer, with salaries often exceeding $150,000 annually. These roles require advanced skills in data modeling, cloud platforms, and leadership, and they oversee large-scale data infrastructure and strategy.

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 is a data infrastructure?

Data infrastructure refers to the collection of hardware, software, networks, and storage systems that support the collection, processing, and storage of data within an organization. Data infrastructure professionals design, implement, and maintain these systems to ensure data availability, security, and efficiency, often using tools like cloud platforms and database management systems.

What is a Data Infrastructure job?

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.

More about Data Infrastructure jobs
What cities are hiring for Data Infrastructure jobs? Cities with the most Data Infrastructure job openings:
What are the most commonly searched types of Data Infrastructure jobs? The most popular types of Data Infrastructure jobs are:
What states have the most Data Infrastructure jobs? States with the most job openings for Data Infrastructure jobs include:
Infographic showing various Data Infrastructure job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $123,312 per year, or $59.3 per hour.
Data Infrastructure Engineer

Data Infrastructure Engineer

HeyGen

Los Angeles, CA โ€ข On-site

$115K - $151K/yr

Full-time

Posted 11 days ago


Job description

About HeyGen
At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences.
Learn more at www.heygen.com. Visit our Mission and Culture doc here.
Position Summary:
At HeyGen, we are at the forefront of developing applications powered by our cutting-edge AI research. As a Data Infrastructure Engineer, you will lead the development of fundamental data systems and infrastructure. These systems are essential for powering our innovative applications, including Avatar IV, Photo Avatar, Instant Avatar, Interactive Avatar, and Video Translation. Your role will be crucial in enhancing the efficiency and scalability of these systems, which are vital to HeyGen's success.
Key Responsibilities:
  • Design, build, and maintain the data infrastructure and systems needed to support our AI applications. Examples include
    • Large scale data acquisition
    • Multi-modal data processing framework and applications
    • Storage and computation efficiency
    • AI model evaluation and productionization infrastructure
  • Collaborate with data scientists and machine learning engineers to understand their computational and data needs and provide efficient solutions.
  • Stay up-to-date with the latest industry trends in data infrastructure technologies and advocate for best practices and continuous improvement.
  • Assist in budget planning and management of cloud resources and other infrastructure expenses.

Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Proven experience in managing infrastructure for large-scale AI or machine learning projects
  • Excellent problem-solving skills and the ability to work independently or as part of a team.
  • Proficiency in Python
  • Experience optimizing computational workflows
  • Familiarity with AI and machine learning frameworks like TensorFlow or PyTorch.

Preferred Qualifications:
  • Experience with GPU computing
  • Experience with distributed data processing system
  • Experience building large scale batch inference system
  • Prior experience in a startup or fast-paced tech environment.

What HeyGen Offers
  • Competitive salary and benefits package.
  • Dynamic and inclusive work environment.
  • Opportunities for professional growth and advancement.
  • Collaborative culture that values innovation and creativity.
  • Access to the latest technologies and tools.

HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

HeyGen logo

About HeyGen

Sourced by ZipRecruiter

Industry

Video and audio streaming services

Company size

11 - 50 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2020

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