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Software Engineer Data Infrastructure Jobs (NOW HIRING)

Wing

Software Engineer, Data Infrastructure

Palo Alto, CA · Hybrid

$134K - $161K/yr

About the Role: Wing is looking for a Software Engineer, Data Infrastructure to join our Flight Systems team. This role is Hybrid based in our Palo Alto, California headquarters. The Data ...

Figma

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 ...

Visa Hunt

Software Engineer, Data Infrastructure

Manhattan, NY · On-site

$126K - $151K/yr

As a Software Engineer, Data Infrastructure, you will: * Work directly on petabyte-scale storage infrastructure, and the networking and performance challenges that come with it. * Collaborate daily ...

The Voleon Group

$295K - $400K/yr

Staff Software Engineer, Data Infrastructure Location Employment Type Full time Location Type Remote Department Software Compensation * Base Salary $295K - $400K Offers Bonus The listed base salary ...

OpenAI

Software Engineer, Data Infrastructure

Manhattan, NY · On-site

$126K - $151K/yr

Have 4+ years in data infrastructure engineering OR * Have 4+ years in infrastructure engineering with a strong interest in data * Take pride in building and operating scalable, reliable, secure ...

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Software Engineer Data Infrastructure information

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$44.5K

$129.7K

$177.5K

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

As of Sep 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.

What is a 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.

How does a software engineer 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 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.

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.

More about Software Engineer Data Infrastructure jobs

What are popular job titles related to Software Engineer Data Infrastructure jobs?

For Software Engineer Data Infrastructure jobs, the most frequently searched job titles are:

Software Engineer Data Infrastructure jobs near you
Infographic showing various Software Engineer Data Infrastructure job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Software Engineer, Data Infrastructure

Palo Alto, CA • Hybrid

Wing
See more jobs at Wingexternal

$134K - $161K/yr

Full-time

Re-posted 12 days ago

Job description

About the Role:

Wing is looking for a Software Engineer, Data Infrastructure to join our Flight Systems team. This role is Hybrid based in our Palo Alto, California headquarters. The Data Infrastructure team builds the foundational systems that manage the vast data generated by our global fleet of autonomous aircraft. In this role, you will design, build, and maintain the scalable data pipelines that collect, process, and store aircraft telemetry and logs, making flight data securely accessible for analysis, machine learning and AI. Your work will empower engineering and flight operations teams to understand aircraft performance and debug issues in the fleet, while also providing the datasets necessary to train and validate machine learning models and leverage Large Language Model AI platforms. Ultimately, you'll provide the data backbone that is essential for scaling Wing's operations safely and efficiently.

What You'll Do: 

  • Partner cross-functionally with software engineers, aerospace engineers, and flight operations/business teams to develop, deliver and scale data pipelines essential for Wing's delivery business and aircraft operations.
  • Integrate diverse data sources across the business to provide a consistent, accurate view of flight operations, aircraft fleet, infrastructure, and business performance.
  • Develop and optimize a mix of batch and interactive services across data pipelines, backend systems, and data serving systems to power our operations.
  • Monitor, validate, and maintain data pipelines to ensure consistent performance and data integrity.

What You'll Need: 

  • 3-6 years of experience programming backend systems and/or data pipelines
  • BA/BS degree in Computer Science, Mathematics, or a related technical field, or equivalent practical experience.
  • Demonstrated coding experience with one or more languages - C++, Java, Python, Go and/or JavaScript.
  • Experience with data analysis tools (such as BigQuery, SQL), data visualization tools, and with data processing algorithms (Hadoop, Flume, Spark, Apache Beam, MapReduce)
  • Ability to independently work with cross-functional teams to drive features to completion.

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