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Data Infrastructure Engineer Jobs in Seattle, WA

This role is for one of our clients Compensation: $60 - $85 per hour A rapidly growing AI organization is seeking a Data Engineer - Finance to build and maintain the data infrastructure that powers ...

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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 Aug 16, 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, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $144,602 per year, or $69.5 per hour.

Site Reliability Engineer - Data Infrastructure

TikTok

Seattle, WA • On-site

$153K - $300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 21 days ago


TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

106th of 244 rated software companies


Job description

Responsibilities
The Data Infrastructure SRE team is responsible for the reliability, scalability, and efficiency of the core data services that power our products. We manage a massive, distributed environment built on technologies like Kubernetes, Redis, MySQL, and Message Queue. Our work is not about building features, but about engineering the resilience and performance of the underlying platform that all product teams depend on. We are the guardians of production, ensuring our data systems run smoothly, nonstop. This role includes participation in a rotational on-call schedule to ensure nonstop coverage for our critical data infrastructure. You will be expected to respond to, troubleshoot, and resolve production incidents. Our team collaborates across multiple time zones, and you will engage in rigorous change management and post-incident review processes to maintain system stability. Responsibilities: - Incident response and triage: Serve as a first responder for production alerts and incidents. Execute established runbooks to mitigate issues and escalate effectively when necessary. - Operational excellence and change management: Perform routine operational tasks, such as deployments, configuration changes, and system maintenance, following established change control processes to minimize production risk. - Iterative automation and AI augmentation: Identify and automate repetitive manual tasks using scripting (e.g., Python, Go, Bash) and AI Agents to reduce toil, improve operational consistency, and boost overall productivity. - Observability and monitoring: Improve our observability posture by refining monitoring dashboards, tuning alert thresholds, and ensuring that our systems are sufficiently instrumented to detect and diagnose problems. - Data Center and AI Infrastructure: Support the daily operations, construction, and maintenance of data center environments and AI infrastructure to meet the demands of large-scale data processing.
Qualifications
Minimum Qualifications: - Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. - 2+ years of experience in an SRE, DevOps, Systems Administration, or similar role. - Experience with at least one scripting language (e.g., Python, Bash, Go). - Solid understanding of Linux operating systems and networking concepts. Preferred Qualifications: - Familiarity with container technologies like Docker and Kubernetes. - Hands-on experience with at least one common data store (e.g., MySQL, Redis, PostgreSQL). - Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK Stack). - A strong desire to learn, a proactive attitude toward problem-solving, and excellent communication skills. - Experience in the operation and construction of Data Centers is a big plus.
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $153900 - $300960 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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