Data Operations Analyst Jobs in Washington
Data Operations Analyst jobs in Washington are in strong and consistent demand, concentrated in technology, cloud services, healthcare, and aerospace sectors, with openings at every level from entry-level through senior and lead roles. Seattle, Bellevue, and Redmond account for most of the hiring activity, anchored by major employers like Amazon, Microsoft, and Boeing, all of which maintain large data and analytics operations in the state. The most in-demand specialties include data pipeline management, business intelligence, and ETL process development. Find a role that fits below and apply directly.
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Showing 5 of 9+ Data Operations Analyst jobs
DESCRIPTION
As a Senior Data Engineer in WW S&A, you will be working in one of the world's largest and most complex data ecosystems. You will design, build, and own scalable data domains that serve as the foundational layer for the business. In this role, you will architect and implement robust, well-governed data domain models that integrate multi-heterogeneous data sources, enabling seamless consumption across a wide spectrum of use cases - including real-time and batch analytics, interactive dashboards and reporting, machine learning and predictive modeling, operational automation, API-driven data services, self-service exploration, and ad-hoc data requests. As a Sr. DE, you will define domain boundaries, establish data contracts, and curate high-quality, discoverable datasets that empower cross-functional teams to derive insights quickly and reliably, while ensuring data is aggregated, retrieved, and served in a fast, secure, and scalable manner across all consumption patterns. You should have excellent business and communication skills to be able to work with business owners, Product teams and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You will be responsible for designing, developing, and operating a data service platform using Python, Airflow, and SQL to build the various ETL, analytics, and data quality components. You’ll automate deployments using AWS CodeDeploy, AWS CodePipeline, AWS Cloud Development Kit (CDK), and AWS Cloud Formation. You will work with AWS services like Redshift, Glue, S3, IAM, CloudWatch, and more.
Key job responsibilities
Key job responsibilities
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using Python, SQL and AWS big data technologies.
- Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencies of the team.
- Work closely with business owners, developers, Business Intelligence Engineer to explore new data sources and deliver the data.
- Create extensible designs and easy to maintain solutions with the long term vision in mind
- Improve tools, processes, scale existing solutions, create new solutions as required based on team and stakeholder needs
BASIC QUALIFICATIONS
- 7+ 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
- Experience building data products incrementally and integrating and managing data sets from multiple sources
PREFERRED QUALIFICATIONS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
- Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Knowledge of large scale automation and workflow management or equivalent
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, TX, Irving - 154,600.00 - 209,100.00 USD annually
USA, WA, Bellevue - 154,600.00 - 209,100.00 USD annually
DESCRIPTION
As a Senior Data Engineer in WW S&A, you will be working in one of the world's largest and most complex data ecosystems. You will design, build, and own scalable data domains that serve as the foundational layer for the business. In this role, you will architect and implement robust, well-governed data domain models that integrate multi-heterogeneous data sources, enabling seamless consumption across a wide spectrum of use cases - including real-time and batch analytics, interactive dashboards and reporting, machine learning and predictive modeling, operational automation, API-driven data services, self-service exploration, and ad-hoc data requests. As a Sr. DE, you will define domain boundaries, establish data contracts, and curate high-quality, discoverable datasets that empower cross-functional teams to derive insights quickly and reliably, while ensuring data is aggregated, retrieved, and served in a fast, secure, and scalable manner across all consumption patterns. You should have excellent business and communication skills to be able to work with business owners, Product teams and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You will be responsible for designing, developing, and operating a data service platform using Python, Airflow, and SQL to build the various ETL, analytics, and data quality components. You’ll automate deployments using AWS CodeDeploy, AWS CodePipeline, AWS Cloud Development Kit (CDK), and AWS Cloud Formation. You will work with AWS services like Redshift, Glue, S3, IAM, CloudWatch, and more.
Key job responsibilities
Key job responsibilities
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using Python, SQL and AWS big data technologies.
- Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencies of the team.
- Work closely with business owners, developers, Business Intelligence Engineer to explore new data sources and deliver the data.
- Create extensible designs and easy to maintain solutions with the long term vision in mind
- Improve tools, processes, scale existing solutions, create new solutions as required based on team and stakeholder needs
BASIC QUALIFICATIONS
- 7+ 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
- Experience building data products incrementally and integrating and managing data sets from multiple sources
PREFERRED QUALIFICATIONS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
- Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Knowledge of large scale automation and workflow management or equivalent
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, TX, Irving - 154,600.00 - 209,100.00 USD annually
USA, WA, Bellevue - 154,600.00 - 209,100.00 USD annually
See All 9 Data Operations Analyst Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Data Operations Analyst JobsData Operations Analyst Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Data Operations Analyst 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 operations analyst jobs across Washington.
- Bachelor's degree in data science, computer science, information systems, or a related field
- Proficiency in SQL for querying, transforming, and maintaining large operational datasets
- Experience with ETL tools, data pipeline platforms, or workflow automation systems
- Familiarity with cloud data environments such as AWS, Azure, or Google Cloud Platform
- Ability to build dashboards and reports using business intelligence tools like Tableau or Power BI
- Strong attention to data quality, documentation practices, and cross-team communication skills
Data Operations Analyst Jobs in Washington: Frequently Asked Questions
How do you become a data operations analyst in Washington?
A bachelor's degree in data science, information systems, computer science, or a related field is the standard entry point for data operations analyst roles in Washington. No state-issued license is required for this role. Washington employers, particularly in the Seattle and Bellevue tech corridor, consistently prioritize candidates who demonstrate proficiency in SQL, cloud data platforms, and ETL processes, whether through coursework, certifications from providers like Google or Microsoft, or hands-on project work.
Which companies hire data operations analysts in Washington?
Employers hiring data operations analysts in Washington right now include Amazon and Costco Wholesale, based on current listings on Migrate Mate as of November 2026. Washington's dense concentration of technology, healthcare, and aerospace companies means demand for this role is distributed across both large enterprise employers and mid-size firms throughout the greater Seattle metropolitan area.
Which Washington cities have the most data operations analyst jobs?
Bellevue and Seattle have the most data operations analyst openings in Washington. Seattle and Bellevue drive the bulk of the volume through their concentration of large technology firms and corporate headquarters, while Redmond specifically benefits from Microsoft's extensive data and analytics operations anchored there.
How can I get hired as a data operations analyst in Washington with little or no experience?
The most realistic path is applying to data analyst associate or junior data operations roles at Washington's large technology employers, which regularly hire recent graduates. Amazon and Microsoft both run new-grad and early-career programs in the Seattle area that place candidates into data operations tracks. Transitioning from adjacent roles such as business analyst, data quality specialist, or reporting analyst is also a well-established route. Completing a recognized data certification, such as the Google Data Analytics Certificate or a Microsoft Azure data credential, and building a portfolio of SQL and pipeline projects can give candidates a clear edge in a competitive field.
Where can I find and apply to data operations analyst jobs in Washington?
You can find and apply to data operations analyst jobs in Washington on Migrate Mate, which lists current Washington openings. Find roles that fit your experience and location, then apply directly to each one.
See All 9 Data Operations Analyst Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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