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The City of Seattle Information Technology (IT) Department is seeking a Senior Data Engineer to support the Seattle Police Department’s Data Analytics Platform (DAP) and related data systems. This position is part of a collaborative team that provides technical leadership across data engineering and data science functions, ensuring reliable, scalable, and secure analytics capabilities for public safety operations. The role supports an AWS-based data warehouse and analytics environment that powers public safety reporting, operational analysis, and the City’s commitments to data transparency and equitable service delivery. The data generated by this platform is high-visibility and high-stakes, informing decisions made by department leadership, City officials, oversight bodies, and the public. As a city, Seattle is recognized as a progressive leader in technology, innovation, and environmental stewardship. As an employer, the City of Seattle continues to lead local government in advancing environmental responsibility, social justice, and equitable services—values that shape both the city’s identity today and its vision for the future. The City’s workforce plays a critical role in making this progress possible. Seattle IT is a trusted partner that provides secure, reliable, and compliant technologies, enabling the City of Seattle to deliver equitable and responsive services to residents. This purpose statement reflects Seattle IT’s role and mission: it serves as a guide to ensure the department stays focused on why its work matters and remains committed to solving complex challenges. It underscores that Seattle IT exists to support City partners and is part of a larger organization working collectively to improve the lives of Seattle’s residents. More than 600 professionals across Seattle IT contribute to the full spectrum of modern IT services, creating a dynamic environment with diverse career opportunities. We hope you will consider joining us.
The City of Seattle Information Technology (IT) Department is seeking a Senior Data Engineer to support the Seattle Police Department’s Data Analytics Platform (DAP) and related data systems. This position is part of a collaborative team that provides technical leadership across data engineering and data science functions, ensuring reliable, scalable, and secure analytics capabilities for public safety operations.
The role supports an AWS-based data warehouse and analytics environment that powers public safety reporting, operational analysis, and the City’s commitments to data transparency and equitable service delivery. The data generated by this platform is high-visibility and high-stakes, informing decisions made by department leadership, City officials, oversight bodies, and the public.
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Seattle, USA
Seattle, USA
Seattle, USA
Seattle, USA
Seattle, USA
Seattle, USA
Seattle, USA
Seattle, USA
Seattle, USA
As a city, Seattle is recognized as a progressive leader in technology, innovation, and environmental stewardship. As an employer, the City of Seattle continues to lead local government in advancing environmental responsibility, social justice, and equitable services—values that shape both the city’s identity today and its vision for the future. The City’s workforce plays a critical role in making this progress possible.
Seattle IT is a trusted partner that provides secure, reliable, and compliant technologies, enabling the City of Seattle to deliver equitable and responsive services to residents. This purpose statement reflects Seattle IT’s role and mission: it serves as a guide to ensure the department stays focused on why its work matters and remains committed to solving complex challenges. It underscores that Seattle IT exists to support City partners and is part of a larger organization working collectively to improve the lives of Seattle’s residents.
More than 600 professionals across Seattle IT contribute to the full spectrum of modern IT services, creating a dynamic environment with diverse career opportunities. We hope you will consider joining us.
5+ years of demonstrated proficiency with database technologies, SQL, scripting, performance optimization, scheduling, and integration tools such as Oracle, SQL Server, PostgreSQL), scripting, ETL/ELT tools, scheduling, and integration frameworks.
4+ years of demonstrated experience delivering data solutions that support business and operational needs, including developing data warehouses, operational data stores, and analytics models
3+ years of demonstrated experience designing reliable, observable, and testable data pipelines, and implementing automation, CI/CD practices, and workflow orchestration.
3+ years of demonstrated experience designing and recommending architectures for large-scale analytics initiatives, assessing resource requirements, and working extensively with AWS cloud services. This includes cloud-native analytics tools such as CloudFormation, S3, Glue, Python, Spark, Lambda and Athena, and the ability to design, build, and support cloud - based data warehouses, datamarts, and curated data stores, data migrations, resource provisioning, and security, privacy, and cost-management principles.
Demonstrated experience working in Agile environments using tools such as Jira, Confluence, SharePoint, and Teams.
Strong written, verbal, and visual communication skills, with the ability to tailor technical information for diverse audiences.
Demonstrated ability to work collaboratively with customers who have high expectations by guiding discussions toward clear, actionable business requirements and translating those requirements into effective, well-structured solution designs.
Ability to collaborate effectively with technical and non-technical stakeholders and communicate architectural recommendations clearly.
Experience collaborating with diverse stakeholders such as business owners, program managers, data scientists, data architects, developers, and external partners.
Skilled at establishing confidence through transparent communication, consistent follow-through, and a structured approach to aligning on priorities, timelines, and deliverables.
Familiarity with analytics and reporting tools (Tableau) and a commitment to learning emerging data technologies to support future-state analytics planning.
Experience supporting data science and machine-learning workflows (e.g. feature pipelines, model deployment, SageMaker or similar platforms).
Yes
No. Please remove my application from consideration.
Less than one year
One to two years
Three to four years
Five or more years
One year
Two to three years
Four or more years
Three or more years
Cloud Formation
S3
glue
Python
Spark
Lambda
Athena
Feature pipelines
Model deployment
SageMaker or similar platforms
Yes. I have experience with Tableau.
Yes. I have experience with equivalent tool(s).
No. I do not have experience with analytics and reporting tools.
Yes. The application is completed. All supplemental questions have been answered,
Required Question
Municipal government of Seattle providing public safety, utilities, transportation, housing, parks, and other services to residents.
Visit company websiteJobs and hiring trendsUSD 62.26-93.41 hourly / hour
Full-time
Senior · 5+ years experience
Hybrid
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