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Data Infrastructure Engineer 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 ...

10Beauty

Senior Data Infrastructure Engineer

Burlington, MA

$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 ...

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.

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Data Infrastructure Engineer information

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$46.5K

$127.1K

$182K

How much do data infrastructure engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for 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 Data Infrastructure Engineer?

A Data Infrastructure Engineer is a professional who designs, builds, and maintains the systems and architecture that store, process, and manage large volumes of data for organizations. They focus on creating scalable and reliable data pipelines, ensuring data is accessible and secure, and integrating data from various sources. Their work enables data scientists, analysts, and other stakeholders to efficiently use data for decision-making and analytics. Data Infrastructure Engineers often work with tools like Hadoop, Spark, and cloud platforms, and play a critical role in supporting modern data-driven businesses.

What are the key skills and qualifications needed to thrive as a Data Infrastructure Engineer, and why are they important?

To thrive as a Data Infrastructure Engineer, you need a solid background in computer science, experience with database management, and expertise in building and optimizing data pipelines, often supported by a relevant degree. Familiarity with tools and platforms like Hadoop, Spark, SQL, cloud services (AWS, Azure, GCP), and containerization technologies such as Docker and Kubernetes is typically required, alongside certifications in cloud or database technologies. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with cross-functional teams and resolve complex technical challenges. These skills and qualities are crucial for ensuring reliable, scalable, and efficient data systems that support business analytics and decision-making.

What are some typical challenges Data Infrastructure Engineers face when scaling systems to handle increased data volume?

Data Infrastructure Engineers often encounter challenges such as ensuring data pipelines remain reliable and performant as data volume grows. This includes optimizing storage solutions, managing distributed systems, and automating data ingestion and transformation processes. Collaborating closely with data scientists and analysts is key to understanding evolving data requirements and proactively addressing potential bottlenecks. Staying updated with the latest tools and best practices helps engineers build scalable, fault-tolerant infrastructure that supports organizational growth.

What is the difference between Data Infrastructure Engineer vs Data Engineer?

AspectData Infrastructure EngineerData Engineer
Primary FocusBuilding and maintaining data infrastructure, pipelines, and storage systemsDesigning, developing, and optimizing data pipelines and models
Skills & CertificationsCloud platforms, data storage, ETL tools, scriptingSQL, Python, Spark, Hadoop, data modeling
Work EnvironmentData teams, infrastructure teams, cloud environmentsData teams, analytics teams, software engineering
Industry UsageTech, finance, healthcare, any data-driven industryTech, finance, retail, analytics-focused companies

While both roles involve working with data pipelines, Data Infrastructure Engineers focus on building and maintaining the underlying data systems and infrastructure, ensuring data availability and reliability. Data Engineers primarily develop and optimize data pipelines and models for analysis and machine learning. Both roles often collaborate but serve different aspects of data management.

More about Data Infrastructure Engineer jobs
What cities are hiring for Data Infrastructure Engineer jobs? Cities with the most Data Infrastructure Engineer job openings:
What states have the most Data Infrastructure Engineer jobs? States with the most job openings for Data Infrastructure Engineer jobs include:
What job categories do people searching Data Infrastructure Engineer jobs look for? The top searched job categories for Data Infrastructure Engineer jobs are:
Data Infrastructure Engineer jobs near you
Infographic showing various Data Infrastructure Engineer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $127,066 per year, or $61.1 per hour.

Data Infrastructure Engineer

HeyGen

Los Angeles, CA • 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.

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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