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Data Infrastructure Engineer Jobs in Seattle, WA

Deloitte

Azure/Databricks Infrastructure Engineer

Seattle, WA · On-site

$63.50 - $84.75/hr

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement ...

Galvanick

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 ...

Weekday AI

Data Engineer - Finance

Bellevue, WA · On-site

$60 - $85/hr

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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Showing results 21-40

All JobsData Infrastructure Engineer JobsData Infrastructure Engineer Jobs in Seattle, WA

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 6, 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:

Data Infrastructure Engineer jobs near you
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.

Lead Infrastructure Engineer- Optical Network

JP Morgan Chase

Seattle, WA • On-site

$122K - $160K/yr

Full-time

Medical, Retirement

Re-posted 13 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 175 rated banks

Job description

Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. Your role will be instrumental in shaping the future at one of the world's largest and most influential companies.
As a Lead Infrastructure Engineer at JPMorganChase within the Network Connectivity Services team, you apply deep knowledge in optical transport technologies, fiber infrastructure, and end to end circuit design within the infrastructure engineering discipline. Continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise.

Job Responsibilities

  • Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.

  • Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.

  • Drive the optical transport network workstream by designing, deploying, operating, and configuring transport services (DWDM, ROADM, 400G OTN), including monitoring and troubleshooting performance (alarms/PMs).

  • Coordinate projects to deliver installs, turn-ups, migrations, and decommissions while owning change execution and documentation in accordance with change control policies.

  • Provide L3/L4 escalation support and participate in an on-call rotation for production incidents, lead major-incident RCAs, and drive preventative actions."

  • Maintain runbooks/KBs and test acceptance procedures, perform capacity planning, and manage platform lifecycle HW/SW upgrades.

Required qualifications, capabilities, and skills

  • Formal training or certification on infrastructure engineering concepts and 5+ years applied experience

  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.

  • Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.

  • Knowledge of one or more areas of infrastructure engineering such as data centers, racks, and patch panels , DC power

  • Deep knowledge across optical transport technologies and platforms, including ROADM, ILA, coherent optics, Waveservers, Ciena 6500, and OTN.

  • Proven ability to lead/own network infrastructure projects end-to-end, including acceptance testing and operational handoff

  • Automation experience (e.g., Python) and working with APIs/data formats 

  • Deep knowledge of optics standards, wavelength planning and optical test/turn-up methods (e.g., OTDR, BERT).

  • Strong communication and documentation skills; comfortable with change, incident processes and on-call rotation.

Preferred qualifications, capabilities, and skills

  • Hands-on troubleshooting across optical Layer 1 and IP Layer 3 (as applicable).

  • Deep understanding of fiber characteristics, optics/modules, DWDM, OTN, and optical AMPs.

CCNA (or equivalent) with good knowledge of routing/switching fundamentals.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our Global Technology Infrastructure group is a team of innovators who love technology as much as you do. Together, you'll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality products and solutions. You'll work in a stable, resilient and secure operating environment where you-and the products you deliver-will thrive.

High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.


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