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Data Infrastructure Jobs (NOW HIRING)

HeyGen

Data Infrastructure Engineer

Los Angeles, CA · 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 ...

HeyGen

Data Infrastructure Engineer

Los Angeles, CA · 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 ...

HeyGen

Data Infrastructure Engineer

Palo Alto, CA · On-site

$126K - $166K/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 ...

HeyGen

Data Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/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 ...

The Bot Company

Data Infrastructure

San Francisco, CA · 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 ...

Droyd

Data Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

They are seeking a Staff Software Engineer on data infrastructure to own the pipelines that carry data from robot to model, architecting ingestion from edge devices and ensuring fleet data is ...

10Beauty

Senior Data Infrastructure Engineer

Burlington, MA · On-site

$118K - $160K/yr

Introduction We are seeking a Senior Data Infrastructure Engineer to own the design and development of scalable data infrastructure, ETL pipelines, and warehouse architecture that power analytics ...

Alljoined

Data Infrastructure Engineer

San Francisco, CA · 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 ...

10Beauty

Senior Data Infrastructure Engineer

Burlington, MA · On-site +1

$140K - $160K/yr

Introduction We are seeking a Senior Data Infrastructure Engineer to own the design and development of scalable data infrastructure, ETL pipelines, and warehouse architecture that power analytics ...

Lyric

Sr. Data Infrastructure Engineer

$122K - $183K/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 ...

TEKsystems

Data Infrastructure Engineer

Mclean, VA · On-site

$60 - $75/hr

Description 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 ingestion pipelines ...

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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 Jun 18, 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 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 that store, process, and manage large volumes of data. They work with tools like databases, data pipelines, and cloud platforms to ensure data is accessible, reliable, and secure for analytics and business operations.

Who are the big 5 in data centers?

The Big 5 in data centers typically refer to the leading providers: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, IBM Cloud, and Oracle Cloud. These companies dominate the cloud infrastructure market and often require data infrastructure professionals to manage and optimize their data center operations, including skills in networking, security, and cloud technologies.

What is the highest paying job in data?

In data infrastructure, senior roles such as Data Engineering Managers, Data Architects, and Chief Data Officers tend to have the highest salaries, often exceeding six figures annually. These positions require advanced technical skills, experience with cloud platforms, and leadership responsibilities.

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 is accessible, secure, and reliable for analysis and decision-making.

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:
What job categories do people searching Data Infrastructure jobs look for? The top searched job categories for Data Infrastructure jobs are:
Data Infrastructure jobs near you
Infographic showing various Data Infrastructure job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $123,312 per year, or $59.3 per hour.

Data Infrastructure Engineer

HeyGen

Los Angeles, CA • On-site

$115K - $151K/yr

Full-time

Posted 19 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.

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

Social media

Twitter

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