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# Sr. Data Engineer | ITP-A, Exempt

- **Company:** Amazon.com, Inc.
- **Location:** Keyport, WA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $129,501.0 - $194,293.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Amazon S3, Business Analytics Applications, Confluence, JIRA, Code Review, Databases, Continuous Integration, Extract Transform Load (ETL), Data Mart, Data Stores, Data Systems, Data Warehousing, Python (Programming Language), PostgreSQL, Machine Learning, Microsoft SQL Server, Operational Data Store, Oracle (Applications), Performance Tuning, Microsoft SharePoint, SQL Databases, Tableau (Software), Management of Software Versions, Workflow Management Systems, Scripting, Apache Spark, Cloudformation, Information Technology, Data Analytics, Integration Frameworks, AWS Data Analytics, Machine Learning Operations, Tools for Reporting, Functional Programming, Data Pipelines
- **Published:** September 19, 2026
- **Apply:** https://www.careerjet.com/job/usfdd1e02790bf9ca54acca98026ce905a/eaa

## About the Role

Bachelor's degree in computer science, business information systems, database management or a related degree. (Or an equivalent combination of experience in lieu of a degree.)
Required Experience:
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. Desired Qualifications:

 * 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)., Who May Apply: This position is open to all qualified candidates that meet the minimum qualifications. The City of Seattle values diverse perspectives and life experiences. Applicants will be considered regardless of race, color, creed, national origin, ancestry, sex, marital status, disability, religious or political affiliation, age, sexual orientation, or gender identity. The City encourages people of all backgrounds to apply, including people of color, immigrants, refugees, women, LGBTQ, people with disabilities, veterans, and those with diverse life experience.
Why Join the City of Seattle: The City of Seattle recognizes that every City employee must play a role in ending institutional and structural racism. Our culture is the result of our behavior, our personal commitments, and the ways that we courageously share our views and encourage others to do the same. To cultivate an antiracist culture, we seek employees who will engage in the Race and Social Justice Initiative by working to dismantle racist policies and procedures, unlearn the way things have always been done, and provide equitable processes and services.
Background Check: This hiring process involves a background check of conviction and arrest records incompliance with Seattle's Fair Chance Employment Ordinance, SMC14.17. Applicants will be provided with an opportunity to explain or correct background information.
Criminal Justice Information Services (CJIS) certification - You must pass a criminal background investigation and obtain CJIS certification for work on Seattle Police systems. Visit for specific criteria.

## Description

The role collaborates closely with data scientists, data architects, developers, business stakeholders, program managers, and external partners to translate requirements into well-engineered data products. It contributes to long-term technology strategy by assessing emerging tools and AWS services for feasibility, cost, and business value.
The position coordinates Seattle IT resources to support and enhance the Seattle Police Data Analytics Platform (DAP) Data Mart/Warehouse. Responsibilities include operational monitoring, troubleshooting, stakeholder support (including occasional work outside standard business hours), and leading production support, infrastructure design, development, testing, and deployment.
Additional duties include planning, building, and implementing improvements to AWS-based analytics systems, on-premises data stores, and analytical models. The role evaluates requirements, feasibility, resource needs, and delivers updated data products in collaboration with business stakeholders, program managers, technical teams, and external partners. The role also researches future-state analytics solutions using emerging technologies and AWS services, evaluating feasibility, cost, business value, and resource impact, and participates in strategic discussions and presentations with leadership., * Build and maintain scalable, secure, high-performance data pipelines and ETL/ELT processes.

 * Ensure pipeline observability, testability, reliability, and workflow automation via CI/CD and monitoring.
 * Plan and implement improvements across AWS-based analytics systems, on-premises data stores, and analytical models.
 * Provision, manage, and optimize AWS data resources.
 * Collaborate with data scientists, architects, developers, and other technical teams to deliver well-engineered data products.
 * Develop clear documentation for pipelines, architecture, and data models.
 * Review code, mentor teammates, and support skill development.
 * Define and enforce standards for schema evolution, versioning, and overall data quality.
 * Monitor and remediate security vulnerabilities identified by AWS Inspector.
 * Research and recommend future-state analytics solutions, evaluating feasibility, cost, business value, and resource impacts for leadership., Sager Electronics is looking for a Sales Engineer to work with our Field Sales team to drive growth within the assigned region by expanding existing customer relationships and deve…
 + 9 days ago


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