ZipRecruiter

Log In

1

Software Engineer Data Infrastructure Jobs (NOW HIRING)

CoreWeave

Software Engineer - Data Infrastructure Services

$117K - $140K/yr

... data protection regulation. Qualifications : Required : • 2~5 years of experience in a software or infrastructure engineering industry. • Experience operating services in production and at scale ...

HubSpot

Principal Software Engineer - Data Infrastructure

$138K - $185K/yr

The Principal Software Engineer in Data Infrastructure will help determine how those building blocks are designed, how they scale, and how engineers across HubSpot use them to create the next ...

next page

Showing results 1-20

All JobsSoftware Engineer Data Infrastructure Jobs

Software Engineer Data Infrastructure information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jul 12, 2026, the average yearly pay for software engineer data infrastructure in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

How does a Software Engineer in Data Infrastructure typically collaborate with data scientists and other engineering teams?

As a Software Engineer in Data Infrastructure, you'll frequently work alongside data scientists, analysts, and other engineering teams to ensure that data pipelines and storage systems are reliable, scalable, and efficient. Collaboration often involves translating data requirements into technical solutions, troubleshooting data flow issues, and optimizing infrastructure for both performance and cost. Regular meetings, code reviews, and cross-functional planning sessions are common, allowing you to gain insights from various perspectives and ensure the infrastructure meets the evolving needs of the organization.

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

AspectSoftware Engineer Data InfrastructureData Engineer
Required CredentialsBachelor's in CS or related, often with certifications in cloud or data toolsBachelor's in CS, Data Science, or related; similar certifications
Work EnvironmentDevelops and maintains data infrastructure, collaborates with data teamsBuilds data pipelines, manages data storage and processing systems
Employer & Industry UsageTech companies, data-driven organizations, cloud providersFinance, healthcare, tech firms, any industry with large data needs
Common Search & ComparisonYesYes

Software Engineer Data Infrastructure and Data Engineer roles often overlap in skills and work environment, focusing on building and maintaining data systems. However, Software Engineers Data Infrastructure tend to focus more on the underlying infrastructure and integration, while Data Engineers emphasize data pipeline development and data management. Both roles are essential in data-driven organizations and require similar credentials and industry usage.

What are Software Engineer Data Infrastructure?

Software Engineer Data Infrastructure are professionals who design, build, and maintain the underlying systems and tools that enable organizations to collect, store, process, and analyze large volumes of data efficiently. They work on creating scalable data pipelines, managing databases, and ensuring data reliability and security. Their work supports data scientists, analysts, and business teams by providing robust, high-performance infrastructure for all data-related operations.

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

To thrive as a Software Engineer Data Infrastructure, you need strong programming skills (such as Python, Java, or Scala), a solid understanding of distributed systems, and experience with data modeling and storage solutions, often backed by a degree in computer science or a related field. Familiarity with technologies like Hadoop, Spark, Kafka, SQL/NoSQL databases, and cloud platforms, as well as certifications in cloud or big data, are highly valued. Excellent problem-solving abilities, collaboration, and clear communication distinguish top performers in this role. These skills ensure robust, scalable, and reliable data infrastructure that supports organizational analytics and business goals.
More about Software Engineer Data Infrastructure jobs
What states have the most Software Engineer Data Infrastructure jobs? States with the most job openings for Software Engineer Data Infrastructure jobs include:
What job categories do people searching Software Engineer Data Infrastructure jobs look for? The top searched job categories for Software Engineer Data Infrastructure jobs are:
Software Engineer Data Infrastructure jobs near you
Infographic showing various Software Engineer Data Infrastructure job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Software Engineer - Data Infrastructure Services

Software Engineer - Data Infrastructure Services

CoreWeave

Remote

$117K - $140K/yr

Full-time

Posted 9 days ago

Job description

Job Summary:
CoreWeave is The Essential Cloud for AI™, providing a platform that enables innovators to build and scale AI. The role involves managing data infrastructures, developing use cases, and ensuring the performance and security of data platforms.
Responsibilities:
• Design and implement the platform to deliver data to teams with a focus on providing managed solutions through APIs
• Participate in operations and scaling of relational data platforms.
• Improve the performance, security, reliability, and scalability of our data platforms, and related services and participate in the teams on-call rotation.
• Establish guidelines, guard rails for data access and storage for stakeholder teams.
• Ensure compliance with standards for data protection regulation.
Qualifications:
Required:
• 2~5 years of experience in a software or infrastructure engineering industry.
• Experience operating services in production and at scale.
• Versed in reliability engineering concepts such as the different types of testing, progressive deployments, error budgets, the role observability, and fault-tolerant design.
• Understanding of CAP theorem and concurrency models.
• Ability to clearly define data models and establish guidelines around data management.
• Familiarity with Kubernetes and interest or comfort with using it for event-driven and/or stateful orchestration.
• Excitement to contribute to a Kubernetes operator in order to manage data systems.
• Proficiency in Linux distro, shell scripting, and the Linux storage and networking stacks.
• Ability to transform problems into elastic solutions, decompose them into achievable tasks, and socialize both to teammates.
• Proficiency in Go/Python and interest in contributing to open source.
• Excitement about being part of a team of diverse perspectives and backgrounds.
Company:
CoreWeave provides cloud infrastructure services designed to support artificial intelligence and high-performance computing workloads. Founded in 2017, the company is headquartered in Livingston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Apply