Data Infrastructure Engineer Jobs in Washington
Data Infrastructure Engineer jobs in Washington are among the most active in the country, concentrated in cloud computing, enterprise software, and technology platforms, with demand running from entry-level roles through senior and staff engineers. Seattle is the dominant hiring center, anchored by Microsoft, Amazon, and Boeing, while Bellevue and Redmond also carry consistent volume. The most in-demand specializations are distributed systems, cloud data pipelines, and large-scale storage architecture. Find a role that fits below and apply directly.
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Showing 5 of 19+ Data Infrastructure Engineer jobs
DESCRIPTION
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. You’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
We’re looking for Senior Data Engineer to help us grow our Data Lake and Data Warehouse Systems, which is being built using a serverless architecture, with 100% native AWS components including Redshift Spectrum, Athena, S3, Lambda, Glue, EMR, Kinesis, SNS, CloudWatch and more! We own a world-class data lake that is used to drive multi-billion dollar decisions on a regular cadence and we're looking to improve on filling the lake quickly, with as little human intervention needed and democratize the data in the lake.
Our Data Engineers build the ETL and analytics solutions for our internal customers to answer questions with data and drive critical improvements for the business. Our Data Engineers use best practices in software engineering, data management, data storage, data compute, and distributed systems. We are passionate about solving business problems with data!
Key job responsibilities
- Develop and maintain automated ETL pipelines (with monitoring) using scripting languages such as Python, Spark, SQL and AWS services such as S3, Glue, Lambda, SNS, SQS, KMS.
- Implement and support reporting and analytics infrastructure for internal business customers.
- Develop and maintain data security and permissions solutions for enterprise scale data warehouse and data lake implementations including data encryption and database user access controls and logging.
- Develop data objects for business analytics using data modeling techniques.
- Develop and optimize data warehouse and data lake tables using best practices for DDL, physical and logical tables, data partitioning, compression, and parallelization.
- Develop and maintain data warehouse and data lake metadata, data catalog, and user documentation for internal business customers.
- Work with internal business customers and software development teams to gather and document requirements for data publishing and data consumption via data warehouse, data lake, and analytics solutions.
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE), inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
BASIC QUALIFICATIONS
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
PREFERRED QUALIFICATIONS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 154,600.00 - 209,100.00 USD annually
DESCRIPTION
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. You’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
We’re looking for Senior Data Engineer to help us grow our Data Lake and Data Warehouse Systems, which is being built using a serverless architecture, with 100% native AWS components including Redshift Spectrum, Athena, S3, Lambda, Glue, EMR, Kinesis, SNS, CloudWatch and more! We own a world-class data lake that is used to drive multi-billion dollar decisions on a regular cadence and we're looking to improve on filling the lake quickly, with as little human intervention needed and democratize the data in the lake.
Our Data Engineers build the ETL and analytics solutions for our internal customers to answer questions with data and drive critical improvements for the business. Our Data Engineers use best practices in software engineering, data management, data storage, data compute, and distributed systems. We are passionate about solving business problems with data!
Key job responsibilities
- Develop and maintain automated ETL pipelines (with monitoring) using scripting languages such as Python, Spark, SQL and AWS services such as S3, Glue, Lambda, SNS, SQS, KMS.
- Implement and support reporting and analytics infrastructure for internal business customers.
- Develop and maintain data security and permissions solutions for enterprise scale data warehouse and data lake implementations including data encryption and database user access controls and logging.
- Develop data objects for business analytics using data modeling techniques.
- Develop and optimize data warehouse and data lake tables using best practices for DDL, physical and logical tables, data partitioning, compression, and parallelization.
- Develop and maintain data warehouse and data lake metadata, data catalog, and user documentation for internal business customers.
- Work with internal business customers and software development teams to gather and document requirements for data publishing and data consumption via data warehouse, data lake, and analytics solutions.
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE), inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
BASIC QUALIFICATIONS
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
PREFERRED QUALIFICATIONS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 154,600.00 - 209,100.00 USD annually
See All 19 Data Infrastructure Engineer Jobs in Washington
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Find JobsData Infrastructure Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Data Infrastructure Engineer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
What Washington Employers Look For
The qualifications that appear most often in data infrastructure engineer jobs across Washington.
- Bachelor's degree in computer science, engineering, or a closely related technical field
- Proficiency with cloud platforms such as AWS, Azure, or Google Cloud and associated data services
- Experience designing and operating large-scale distributed data systems or data pipelines
- Hands-on knowledge of infrastructure-as-code tools such as Terraform or Pulumi
- Familiarity with containerization and orchestration technologies including Kubernetes and Docker
- Strong understanding of data storage systems, including relational databases and distributed file systems
Data Infrastructure Engineer Jobs in Washington: Frequently Asked Questions
How do you become a data infrastructure engineer in Washington?
A bachelor's degree in computer science, software engineering, or a related field is the standard entry point for data infrastructure engineer roles in Washington. The state does not require a government-issued license for this role, so employers focus on demonstrated technical skills. Building hands-on experience through cloud platform certifications from AWS, Microsoft Azure, or Google Cloud carries significant weight with Washington hiring teams, particularly those at enterprise technology firms.
How much do data infrastructure engineers make in Washington?
Data infrastructure engineers in Washington earn a median of about $128,760 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $101,970 for the lowest 10% to over $195,590 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data infrastructure engineers in Washington?
Employers hiring data infrastructure engineers in Washington right now include Amazon, ByteDance, and Microsoft, based on current listings on Migrate Mate as of November 2026. Washington's deep concentration of cloud and enterprise software companies means hiring is ongoing across both established technology headquarters and the growing network of firms that support them.
Which Washington cities have the most data infrastructure engineer jobs?
Seattle, Bellevue, and Redmond have the most data infrastructure engineer openings in Washington. Seattle drives the largest share because it is home to major cloud and software headquarters, while Bellevue and Redmond carry consistent volume as corporate campuses for Microsoft and the broader technology ecosystem that has grown around it.
Are there remote data infrastructure engineer jobs in Washington?
Yes, and more than most fields. About 67% of data infrastructure engineer openings tied to Washington are remote or hybrid as of November 2026, reflecting how much of this work involves cloud consoles, code repositories, and distributed systems tooling rather than on-site hardware. Pipeline management, monitoring, and architecture work are the areas most frequently offered remotely.
How can I get hired as a data infrastructure engineer in Washington with little or no experience?
The most realistic entry path is moving from a related role such as systems administrator, DevOps associate, or data analyst into an infrastructure engineering function. Large Washington employers including Microsoft and Amazon run new-graduate programs and rotational engineering tracks that accept candidates without direct infrastructure experience. Earning an AWS or Azure associate-level certification and contributing to open-source infrastructure projects strengthens a portfolio enough to compete for those programs and for junior engineer openings at smaller cloud-native firms in the Seattle area.
Where can I find and apply to data infrastructure engineer jobs in Washington?
You can find and apply to data infrastructure engineer jobs in Washington on Migrate Mate, which lists current Washington openings. Find roles that fit your experience and apply directly to the ones that match.
See All 19 Data Infrastructure Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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