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Data Infrastructure Engineer Jobs in Seattle, WA

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 ...

Infrastructure Engineer

Seattle, WA · Remote

$110K - $144K/yr

... power of cloud, data, AI, and other emerging technologies. Why Join The AES Group, Inc ... Infrastructure Engineer to join our growing technology team. In this role, you will be responsible ...

Infrastructure engineer

Seattle, WA · On-site

$122K - $160K/yr

Company Description Motocol is recruiting for our client Our client is seeking a highly skilled engineer to join the cloud and data center infrastructure team with at least 10 years of systems ...

Infrastructure Engineer

Seattle, WA · On-site

$130K - $225K/yr

As an infrastructure engineer, you'll design, build, and secure the platforms that power our ... Familiarity with experiment tracking, ML infrastructure, or data visualization tooling * Experience ...

Staff Infrastructure Engineer

Seattle, WA · On-site +1

$265K - $331K/yr

... deriving from data, with drift caught early. * Self-serve infrastructure platform. Build the ... You make other engineers better through architecture reviews, runbooks, and paved-road tooling that ...

Infrastructure Engineer

Seattle, WA · On-site

$122K - $160K/yr

They are seeking an Infrastructure Engineer to join their IT team, where the role involves ... and data stores Qualifications : Required : • Excellent communication, customer service, and ...

Infrastructure Engineer

Seattle, WA · On-site

$122K - $160K/yr

They are seeking an Infrastructure Engineer to join their IT team, responsible for automating ... and data stores Qualifications : Required : • Excellent communication, customer service, and ...

... data gaps. * Embrace automation and leverage infrastructure management tools (e.g., Terraform ... Proficient in scripting and programming languages to implement deployment automation and testing (e ...

... data gaps. * Embrace automation and leverage infrastructure management tools (e.g., Terraform ... Proficient in scripting and programming languages to implement deployment automation and testing (e ...

Infrastructure Engineer

Seattle, WA · On-site

$100 - $180/hr

... data gaps. * Embrace automation and leverage infrastructure management tools (e.g., Terraform ... Proficient in scripting and programming languages to implement deployment automation and testing (e ...

... data gaps. * Embrace automation and leverage infrastructure management tools (e.g., Terraform ... Proficient in scripting and programming languages to implement deployment automation and testing (e ...

Infrastructure Engineer

Seattle, WA · On-site

$122K - $160K/yr

... data gaps. • Embrace automation and leverage infrastructure management tools (e.g., Terraform ... programming languages to implement deployment automation and testing (e.g., Python, Go). • To ...

Infrastructure Engineer

Seattle, WA · On-site

$122K - $160K/yr

... data gaps. • Embrace automation and leverage infrastructure management tools (e.g., Terraform ... programming languages to implement deployment automation and testing (e.g., Python, Go). • To ...

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Showing results 1-20

Data Infrastructure Engineer information

See Seattle, WA salary details

$52.9K

$144.6K

$207.1K

How much do data infrastructure engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data infrastructure engineer in Seattle, WA is $144,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,300.00 and $160,500.00 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?

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.

What are popular job titles related to Data Infrastructure Engineer jobs in Seattle, WA?

For Data Infrastructure Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Data Infrastructure Engineer jobs in Seattle, WA look for?

The top searched job categories for Data Infrastructure Engineer jobs in Seattle, WA are:

Infographic showing various Data Infrastructure Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $144,605 per year, or $69.5 per hour.

Software Engineer, Data Infrastructure

OpenAI

Seattle, WA • On-site

$150 - $210/hr

Other

Posted 7 days ago


Job description

About the Team

Data Platform at OpenAI owns the foundational data stack powering critical product, research, and analytics workflows. We operate some of the largest Spark compute fleets in production; design, and build data lakes and metadata systems on Iceberg and Delta with a vision toward exabyte-scale architecture; run high throughput streaming platforms on Kafka and Flink; provide orchestration with Airflow; and support ML feature engineering tooling such as Chronon. Our mission is to deliver reliable, secure, and efficient data access at scale and accelerate intelligent, AI assisted data workflows.

Join us to build and operate these core platforms that underpin OpenAI products, research, and analytics.

We’re not just scaling infrastructure – we’re redefining how people interact with data. Our vision includes intelligent interfaces and AI-assisted workflows that make working with data faster, more reliable, and more intuitive.

About the Role

This role focuses on building and operating data infrastructure that supports massive compute fleets and storage systems, designed for high performance and scalability. You’ll help design, build, and operate the next generation of data infrastructure at OpenAI. You will scale and harden big data compute and storage platforms, build and support high-throughput streaming systems, build and operate low latency data ingestions, enable secure and governed data access for ML and analytics, and design for reliability and performance at extreme scale.

You will take full lifecycle ownership: architecture, implementation, production operations, and on-call participation.

You’ve supported Spark, Kafka, Flink, Airflow, Trino, or Iceberg as platforms. You’re well-versed in infrastructure tooling like Terraform, experienced in debugging large-scale distributed systems, and excited about solving data infrastructure problems in the AI space.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:
  • Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security
  • Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient
  • Accelerate company productivity by empowering your fellow engineers & teammates with excellent data tooling and systems
  • Collaborate with product, research and analytics teams to build the technical foundations capabilities that unlock new features and experiences
  • Own the reliability of the systems you build, including participation in an on-call rotation for critical incidents
You might thrive in this role if you:
  • 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 systems
  • Are comfortable with ambiguity and rapid change
  • Have an intrinsic desire to learn and fill in missing skills, and an equally strong talent for sharing learnings clearly and concisely with others

This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general‑purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Aff….

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non‑compliant, please submit a report through this form.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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