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Data Infrastructure Jobs (NOW HIRING)

Figma

Software Engineer, Data Infrastructure

San Francisco, CA · On-site +1

$134.90K - $162K/yr

In the coming years, we're focused on building the data infrastructure layer for Figma's AI-powered products, driving cost and performance optimizations across our data stack, scaling our ingestion ...

Guidehouse

OR · On-site

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

WorkBay

Data & Infrastructure Engineer

Draper, UT · On-site

$107K - $128.50K/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.

Guidehouse

Data Infrastructure Engineer

$117.20K - $140.70K/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 ...

Bright Vision Technologies

AI Data Infrastructure Engineer

$117.20K - $140.70K/yr

They are seeking an AI Data Infrastructure Engineer to build and operate large-scale data systems that power modern AI training and evaluation pipelines, focusing on data ingestion, transformation ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$150K - $350K/yr

Our Helix team is looking for an experienced Data Infrastructure Engineer, to take our AI data infrastructure to the next level. This role is focused on building tools and software components that ...

Mistral AI

Research Engineer, Data Infrastructure

New York, NY · On-site

$117.60K - $154.30K/yr

See more about our culture on Role Summary This role focuses on building and operating the next generation of data infrastructure at Mistral AI. You will be a core contributor to our evolution ...

Bright Vision Technologies

AI Data Infrastructure Engineer

$117.20K - $140.70K/yr

We are seeking an AI Data Infrastructure Engineer to build and operate large-scale data systems that power modern AI training and evaluation pipelines, focusing on data ingestion, transformation, and ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$150K - $350K/yr

Our Helix team is looking for an experienced Data Infrastructure Engineer, to take our AI data infrastructure to the next level. This role is focused on building tools and software components that ...

Figma

Software Engineer, Data Infrastructure

San Francisco, CA · On-site

$134.90K - $162K/yr

In the coming years, we're focused on building the data infrastructure layer for Figma's AI-powered products, driving cost and performance optimizations across our data stack, scaling our ingestion ...

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$123.3K

$195.5K

How much do data infrastructure jobs pay per year?

As of May 29, 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 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.

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 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.
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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:
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Data Infrastructure jobs near you
Infographic showing various Data Infrastructure job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 50% Full Time, 36% Part Time, 2% Temporary, and 10% Contract. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution, with an average salary of $123,312 per year, or $59.3 per hour.

Software Engineer, Data Infrastructure

Figma

San Francisco, CA • On-site, Remote

$134.90K - $162K/yr

Other

Posted 20 days ago

Job description

The Data Platform team at Figma builds and operates the foundational systems that power analytics, AI/ML, and data-driven decision-making across the company. We serve a diverse set of stakeholders, including AI researchers, machine learning engineers, data scientists, product engineers, and business teams that rely on data for insights and strategy. Our team owns and scales critical platforms such as the Snowflake data warehouse, ML Datalake, orchestration and pipeline infrastructure, and large-scale data ingestion and processing systems, managing all data flowing into and out of these platforms.

Despite being a small team, we take on high-scale, high-impact challenges. In the coming years, we're focused on building the data infrastructure layer for Figma's AI-powered products, driving cost and performance optimizations across our data stack, scaling our ingestion and reverse ETL capabilities for new product use cases, and strengthening data quality, reliability, and compliance at every layer. If you're passionate about building scalable, high-performance data platforms that empower teams across Figma, we'd love to hear from you!

This is a full-time role that can be held from one of our US hubs or remotely in the United States.

What you'll do at Figma:
  • Design and build large-scale distributed data systems that power analytics, AI/ML, and business intelligence across Figma.
  • Develop batch and streaming solutions to ensure data is reliable, efficient, and scalable across the company.
  • Manage and evolve core platforms like Snowflake, our ML Datalake, orchestration infrastructure, and real-time ingestion systems.
  • Improve data reliability, consistency, and compliance, ensuring high-quality data for engineering, research, and business stakeholders.
  • Identify and drive cost optimization opportunities across data processing, compute infrastructure, and storage.
  • Collaborate with AI researchers, data scientists, product engineers, and business teams to understand data needs and build scalable solutions.
  • Drive technical decisions and best practices for data ingestion, orchestration, processing, and storage.
  • Mentor and support engineers, fostering a culture of learning and technical excellence.
We'd love to hear from you if you have:
  • 5+ years of backend or infrastructure engineering experience, including designing and building distributed data infrastructure at scale.
  • Strong expertise in batch and streaming data processing technologies such as Spark, Flink, Kafka, or Airflow/Dagster.
  • Proven track record of impact-driven problem-solving in fast-paced environments, with a strong focus on high-quality, reliable, and performant systems.
  • Excellent technical communication skills, with experience collaborating across both technical and non-technical stakeholders.
  • Experience mentoring engineers and fostering a culture of learning and technical excellence.
While it's not required, it's an added plus if you also have:
  • Familiarity with our stack, including Golang, Python, SQL, frameworks such as dbt, and technologies like Spark, Kafka, Snowflake, and Dagster.
  • Experience building data infrastructure for AI/ML pipelines, including model serving, feature stores, or dataset compliance.
  • Experience with reverse ETL, personalization platforms, or real-time event ingestion systems.
  • Experience with data governance, access control, and cost optimization strategies for large-scale data platforms.
  • The ability to navigate ambiguity, take ownership, and drive projects from inception to execution.

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

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