Data Operations Manager Jobs in Washington
Data Operations Manager jobs in Washington are in strong and consistent demand, with the heaviest concentration in Seattle's technology and cloud infrastructure sector, Redmond's enterprise software ecosystem, and Bellevue's growing analytics and e-commerce operations. Employers like Microsoft, Amazon, and Boeing maintain deep and ongoing needs for data operations managers at every level, from entry-level data coordinators stepping into management to senior leaders overseeing enterprise-scale pipelines. The most in-demand specialties in Washington include cloud data platform operations, real-time analytics pipeline management, and data governance and compliance. Find a role that fits below and apply directly.
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Showing 5 of 20+ Data Operations Manager 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 20 Data Operations Manager Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Data Operations Manager JobsData Operations Manager Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Data Operations Manager 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 manager jobs across Washington.
- Bachelor's degree in computer science, information systems, or a related technical field
- Three or more years managing data pipelines, warehouses, or operational data workflows
- Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud
- Proficiency in SQL, Python, or similar languages for data querying and automation
- Demonstrated ability to lead cross-functional teams and manage vendor relationships
- Familiarity with data governance frameworks and regulatory compliance requirements
Data Operations Manager Jobs in Washington: Frequently Asked Questions
How do you become a data operations manager in Washington?
Most Washington employers expect a bachelor's degree in computer science, information systems, data engineering, or a closely related field as the starting point. There is no state-issued license required to work as a data operations manager in Washington. Employers in the Seattle and Bellevue corridors typically want candidates who have progressed through data analyst, data engineer, or database administrator roles before moving into management. Earning a cloud certification from AWS, Google, or Microsoft Azure is a recognized differentiator in Washington's technology-heavy market.
How much do data operations managers make in Washington?
Data operations managers in Washington earn a median of about $209,370 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $130,010 for the lowest 10% to over $327,300 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data operations managers in Washington?
Employers hiring data operations managers in Washington right now include Amazon, Meta, and Apple, based on current listings on Migrate Mate as of November 2026. Washington's concentration of enterprise technology, aerospace, and e-commerce operations means demand runs across both established corporations and high-growth startups headquartered in the greater Seattle area.
Which Washington cities have the most data operations manager jobs?
The cities with the most data operations manager openings in Washington are Seattle, Bellevue, and Redmond. Seattle dominates because of the dense concentration of major technology and cloud infrastructure companies headquartered or substantially staffed there, while Redmond and Bellevue generate consistent volume through Microsoft's campus and the surrounding enterprise technology ecosystem that has grown around it.
Are there remote data operations manager jobs in Washington?
Yes, and more than most fields, since data operations management is largely analytical and system-based work that translates well to remote environments. About 100% of data operations manager openings tied to Washington are remote or hybrid as of November 2026, reflecting how broadly distributed tech teams have become across the state. Roles focused on cloud pipeline management and data governance tend to offer the most remote flexibility, while positions requiring hands-on coordination with on-site infrastructure or operations teams more often require in-person presence.
How can I get hired as a data operations manager in Washington with little or no experience?
The most realistic entry path is moving into a data operations manager role from a closely adjacent position such as data analyst, database administrator, or data engineer, ideally within a Washington employer already familiar with your work. Large Washington technology employers including Microsoft and Amazon run structured associate and rotational programs that place early-career candidates into data roles with a defined path toward team leadership. Building a portfolio of pipeline or automation projects and earning a cloud platform certification strengthens a candidate's case significantly when formal management experience is limited.
Where can I find and apply to data operations manager jobs in Washington?
You can find and apply to data operations manager jobs in Washington on Migrate Mate, which lists current Washington openings updated regularly. Search the listings to find roles that match your experience, location preference, and specialization, then apply directly to the ones that fit.
See All 20 Data Operations Manager Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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