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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DESCRIPTION
As a Data Engineer on this team, you will build and scale the data infrastructure behind this source-of-truth dataset, enabling finance and operations teams to assess network execution and understand cost drivers. This role sits at the center of network topology analytics, where the ability to understand Amazon's complex supply chain network and drive data model, mapping, and dimensional standardization is critical. You will onboard 100+ metrics into our central "metrics-as-a-code" platform enabling self-service reporting and analytics for finance and controllership teams. You will design, implement, and support scalable data solutions and complex data models for Amazon's Operations Finance organization. Your work will integrate heterogeneous data sources, automate ETL workflows, and deliver curated datasets used for reporting, analysis, and ad-hoc requests. You will partner with finance stakeholders, BI Engineers, and product teams to gather requirements, architect pipelines, and ensure that data is reliable, accessible, and trusted for data-driven business decisions.
Key job responsibilities
- Design, build, and maintain scalable ETL pipelines and data solutions using Python, SQL, Spark, and AWS services (S3, Glue, Redshift, Airflow, EMR, Lambda)
- Create coherent logical and physical data models that drive the metadata-driven configuration layer, enabling finance teams to define new metrics and views without code changes
- Collaborate with finance stakeholders, BI Engineers, and partner teams to gather requirements, integrate automated and manual data feeds, and deliver trusted datasets
- Participate in code reviews, design discussions, and team planning while identifying process improvements that increase automation and reduce manual error
- Optimize query performance and resource usage across the data platform, ensuring reliability and operational excellence at scale
A day in the life
You start your morning reviewing pipeline health dashboards and triaging data quality alerts on cost data flowing across transportation segments. Mid-morning, you collaborate with finance analysts to validate cost allocation logic for a carrier segment being onboarded into the platform. After lunch you build and test an ETL module that integrates a partner team's operational data feed, then pair with a teammate on a code review to ensure the solution scales across regions. Your afternoon wraps up with a design session on extending item-level cost granularity to support new reporting dimensions.
About the team
Our team within Operations Finance builds and operates the self-serve data platform that powers financial reporting, bridging, and analytics for over 2,500 finance customers across multiple regions. We support 10+ data producer teams and are focused on scaling automation, improving data quality, and incorporating AI-driven workflows for both our builders and customers. If you want to shape how a global finance organization interacts with data, this is the place to do it.
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Bachelor's degree
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Knowledge of distributed systems as it pertains to data storage and computing
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience building large-scale, high-throughput, 24x7 data systems
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, Bellevue - 132,100.00 - 178,800.00 USD annually
DESCRIPTION
As a Data Engineer on this team, you will build and scale the data infrastructure behind this source-of-truth dataset, enabling finance and operations teams to assess network execution and understand cost drivers. This role sits at the center of network topology analytics, where the ability to understand Amazon's complex supply chain network and drive data model, mapping, and dimensional standardization is critical. You will onboard 100+ metrics into our central "metrics-as-a-code" platform enabling self-service reporting and analytics for finance and controllership teams. You will design, implement, and support scalable data solutions and complex data models for Amazon's Operations Finance organization. Your work will integrate heterogeneous data sources, automate ETL workflows, and deliver curated datasets used for reporting, analysis, and ad-hoc requests. You will partner with finance stakeholders, BI Engineers, and product teams to gather requirements, architect pipelines, and ensure that data is reliable, accessible, and trusted for data-driven business decisions.
Key job responsibilities
- Design, build, and maintain scalable ETL pipelines and data solutions using Python, SQL, Spark, and AWS services (S3, Glue, Redshift, Airflow, EMR, Lambda)
- Create coherent logical and physical data models that drive the metadata-driven configuration layer, enabling finance teams to define new metrics and views without code changes
- Collaborate with finance stakeholders, BI Engineers, and partner teams to gather requirements, integrate automated and manual data feeds, and deliver trusted datasets
- Participate in code reviews, design discussions, and team planning while identifying process improvements that increase automation and reduce manual error
- Optimize query performance and resource usage across the data platform, ensuring reliability and operational excellence at scale
A day in the life
You start your morning reviewing pipeline health dashboards and triaging data quality alerts on cost data flowing across transportation segments. Mid-morning, you collaborate with finance analysts to validate cost allocation logic for a carrier segment being onboarded into the platform. After lunch you build and test an ETL module that integrates a partner team's operational data feed, then pair with a teammate on a code review to ensure the solution scales across regions. Your afternoon wraps up with a design session on extending item-level cost granularity to support new reporting dimensions.
About the team
Our team within Operations Finance builds and operates the self-serve data platform that powers financial reporting, bridging, and analytics for over 2,500 finance customers across multiple regions. We support 10+ data producer teams and are focused on scaling automation, improving data quality, and incorporating AI-driven workflows for both our builders and customers. If you want to shape how a global finance organization interacts with data, this is the place to do it.
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Bachelor's degree
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Knowledge of distributed systems as it pertains to data storage and computing
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience building large-scale, high-throughput, 24x7 data systems
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, Bellevue - 132,100.00 - 178,800.00 USD annually
See All 14 Data Operations Manager Jobs in Washington
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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
- Amazon10
- Meta1
- Google1
- Equinix1
- CIeNET International1C
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 Google, based on current listings on Migrate Mate as of September 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 and Bellevue. 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 September 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 14 Data Operations Manager Jobs in Washington
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