Data engineer jobs in Kent, WA and nearby (140 jobs)

Data engineer jobs within 25 miles of Kent, WA. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 8, 2026

Hiring at a glance

View jobs

Open jobs: 140
Employers: 62

Advertised starting pay

Average starting payUSD / year: $138,255Across 29 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 10%14 listings
On-site: 13%18 listings

Not specified: 77% (108 listings)

Employers hiring include Amazon.com Services LLC (29), Amazon (18), Deloitte US (6).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in Kent, WA and nearby

Within 25 miles

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Added 3 days ago
Data Engineer, Amazon Security Experience
Amazon
Seattle, WA
The Amazon Security Experiences (ASE) organization is the data intelligence backbone of Amazon Security. We build and operate the data platform that powers security insights, builder…
Added 3 days ago
Data Engineer – (Hadoop & Big Data)/Teradata & Data stage
supremesoft
Bellevue, WA
Added 3 days ago
Software Design Engineer III-Data Engineer
Blueprint Consulting Services
Bellevue, WA
Added 3 days ago
M
Principal Data Engineer
Microsoft
Redmond, WA
- $142,800 to $304,200 USD / year
We are looking for a Principal Data Engineer to lead the architecture, development, and operation of scalable, reliable data platforms. This role requires deep expertise in ETL, data…
Added 3 days ago
ET
Data Engineer
EdgeQ Technologies Private Limited
Seattle, WA
- $85,000 to $160,000 USD / year
We are seeking a skilled Data Engineer with 2–8 years of experience to design, develop, and maintain scalable data pipelines and data infrastructure. The ideal candidate will have strong…
Added 3 days ago
Manager, Cloud Data Engineer
Deloitte US
Seattle, WA
AI & Engineering leverages cutting-edge engineer
Added 3 days ago
Sr. Data Engineer - Amazon Leo, Leo Global Business
Amazon Kuiper Commercial Services LLC
Bellevue, WA
Added 3 days ago
RD
Data Engineer, Operations Analytics
Rowan Digital Infrastructure
Seattle, WA
- $109,000 to $125,000 USD / year
At Rowan Digital Infrastructure, we are transforming data center delivery for speed and scale. Our mission is to deliver best-in-class data center solutions to hyperscale customers who…
Added 3 days ago
RR
IT Specialist (Data Engineer)
Railroad Retirement Board
Seattle, WA
- $90,925 to $118,204 USD / year
…responsible for designing, building, and maintaining scalable data pipelines and infrastructure to collect, store, process, and deliver large datasets in support of the agency's…
Added 3 days ago
RR
IT Specialist (Data Engineer)
Railroad Retirement Board
Seattle, WA
- $90,925 to $118,204 USD / year
…responsible for designing, building, and maintaining scalable data pipelines and infrastructure to collect, store, process, and deliver large datasets in support of the agency's…
Added 4 days ago
Data Engineer III, Amazon Manufacturing Services (AMS)
Amazon
Bellevue, WA
Do you want to turn manufacturing data into decisions that move physical parts through a factory? Amazon Manufacturing Services (AMS) runs 135+ machines producing custom parts for over 100…
Added 4 days ago
P
SAP Analytics and Data Engineer
PACCAR
Renton, WA
- $104,000 to $162,000 USD / year
Added 4 days ago
Data Engineer, Advertising Demand Enablement & Product Ops (DEPO)
Amazon.com Services LLC
Seattle, WA
Are you passionate about building data infrastructure that delivers real business value at massive scale? As a Data Engineer at Amazon, you will design, build, and optimize data pipelines…
Added 5 days ago
Data Engineer, Workforce Solutions - Talent Mobility
Amazon
Bellevue, WA
Added 5 days ago
Data Engineer, WW Ops Finance S&A
Amazon.com Services LLC
Bellevue, WA
Are you passionate about standardizing data platforms and automating data engineering to drive analytics and reporting? Do you excel in dynamic, fast-paced environments and find joy in…
Added 6 days ago
Data Engineer- Consultant AI& E
Deloitte US
Bellevue, WA · Seattle, WA
…wants to work in a collaborative environment? As an experienced Data Engineer-Consultant you will have the ability to share new ideas and collaborate on projects as a consultant without the…
Added 7 days ago
Management Consultant - Data Engineer
IBM
Bellevue, WA · Seattle, WA
Added 8 days ago
AI Data Engineer – AI Training Data
ManpowerGroup
Redmond, WA
Our client, Applied Sciences is seeking a Data Analyst 1 to join their team. As a Data Analyst 1, you will be part of the Applied Sciences organization supporting Applied Sciences teams.…
Added 8 days ago
AI Data Engineer – AI Training Data
Experis USA
Redmond, WA
Our client, Applied Sciences is seeking a Data Analyst 1 to join their team. As a Data Analyst 1, you will be part of the Applied Sciences organization supporting Applied Sciences teams.…
Added 8 days ago
Data Engineer, GTM Systems
Anthropic
Seattle, WA
Added 8 days ago
Data Engineer II, Sales Data Services (SDS)
Amazon.com Services LLC
Seattle, WA
Added 10 days ago
Data Engineer II, DSP Analytics
Amazon.com Services LLC
Bellevue, WA
The DSP Analytics team has an exciting opportunity for a Data Engineer to make impactful contributions to Amazon's Delivery Service Partner (DSP) program tackling modern data challenges by…
Added 10 days ago
Data Engineer, WW Ops Finance S&A
Amazon.com Services LLC
Bellevue, WA
Are you passionate about standardizing data platforms and automating data engineering to drive analytics and reporting? Do you excel in dynamic, fast-paced environments and find joy in…
Added 10 days ago
Data Engineer I , WW Ops Finance S&A
Amazon
Bellevue, WA
Do you love turning messy, large-scale data into pipelines people can trust? If you want to solve hard data warehousing problems, partner directly with stakeholders, and see your work…
Added 10 days ago
Data Engineer, Marketing Tech BI, Stores Finance Analytics & Insights
Amazon
Seattle, WA
…each other. Our ultimate goal is to build a robust/scalable data infrastructure and automated reporting system to empower users have maximum flexibility to play with the data in order to…

Closed listing

Amazon.com Services LLC

Data Engineer, Amazon Security Experience

Seattle, WA, United States

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Experience: 2+ years of data engineering experience
Posting language: English
Posted: Oct 19, 2026

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Original job description

Archived listing. The details below describe a past opening.

The Amazon Security Experiences (ASE) organization is the data intelligence backbone of Amazon Security. We build and operate the data platform that powers security insights, builder experience analytics, and tooling decisions across Amazon's security ecosystem. Every insight surfaced to security leadership, from builder productivity trends to security issue quality metrics, flows through systems our team designs, builds, and maintains.

We operate at scale, processing large volumes of security and operational data daily through hundreds of pipelines consisting of transformations, reporting queries, ingestions, and infrastructure management scripts. Our engineers work directly with source systems across AWS and SDO (Security, Developer, and Operations) data domains to procure data, convert it into structured formats, build large-scale processing pipelines, design analytical data models, and maintain infrastructure with the highest security and compliance standards.

We are seeking a Data Engineer I to join our Security Data Intelligence (SDI) team. In this role, you will build and maintain data pipelines that power security analytics across Amazon. Working with well-defined requirements and guidance from senior engineers, you will create physical data models, optimize data pipelines for defined datasets, and deliver reliable, well-documented solutions on schedule. You will partner with teams across ASE, BizOps, MapSec, and other security organizations to implement data ingestion flows and support analytical models that serve the broader Amazon Security organization.

Key job responsibilities Learn and apply team-established data processing guidelines and best practices when building and testing pipelines. Measure and improve dataset quality across owned pipelines, identifying issues and proposing solutions to the team. Flag limitations or opportunities in data processing tools to senior engineers for evaluation.

Learn and understand the team's existing data architecture, including how security data flows through ingestion, transformation, and serving layers. Build data solutions at the component level within the established team data architecture, following defined logical data models. Create physical data models for assigned datasets, applying appropriate persistence and integration techniques. Understand the implications of implementation decisions (e.g., normalization, distribution) and seek guidance from senior engineers on trade-offs.

Write secure, stable, testable, and maintainable code with minimal defects, following team coding standards. Clearly document solutions for ease of use and maintainability by teammates and data consumers. Get all data models, pipeline designs, and code reviewed by senior engineers before deployment. Test code thoroughly and understand the maintenance characteristics, runtime properties, and dependencies of delivered solutions.

Build and maintain data pipeline infrastructure for assigned datasets using team-established patterns and tools. Apply basic database optimization techniques such as partitioning, distribution, and indexing as directed. Understand the underlying system infrastructure that data solutions depend on, including differences between data persistence solutions. Follow team guidelines for infrastructure management, security compliance, and automation practices.

Solve straightforward, well-defined problems with guidance from senior engineers, for example, building ingestion pipelines for a new security data source where the schema and requirements are defined, or troubleshooting data quality issues in existing datasets by researching root causes and thoroughly resolving defects. Handle problems even outside your own domain by either resolving them or ensuring a clear hand-off to the right owner.

Take well-defined requirements and deliver solutions on schedule within assigned scope. Participate in team design, scoping, and prioritization discussions to understand project context. Manage your own task execution effectively, seeking guidance when blocked or uncertain. Communicate progress and dependencies clearly to your team lead and senior engineers.

Build good working relationships with teammates, peer engineers, and data consumers across ASE and SDO. Partner effectively with Business Analysts, Data Scientists, and peer SDEs to understand data requirements. Help train and mentor DE interns when applicable. Participate in the interview process. Recognize discordant views and participate in constructive dialogue with peers.

Follow team-established best practices for data discovery, naming conventions, and data security. Classify, store, and handle data per Amazon security and compliance policies. Ensure proper access control, data integrity, and auditability for all produced datasets. Track security risks in data handling, mitigate issues, and escalate in a timely manner.

Identify data quality issues and pipeline deficiencies in owned components and propose solutions to the team. Participate in code reviews, design discussions, and team planning sessions. Make small improvements to team development processes when directed. Actively seek knowledge of team data architecture and apply learnings to improve your data solutions.

Participate in on-call rotation and respond to pipeline incidents following established runbooks and escalation procedures. Understand the maintenance characteristics, runtime properties, and dependencies of team data systems. Contribute to monitoring and alarming setup for owned pipelines with guidance from senior engineers. Document incident resolutions and contribute to runbook updates for owned components. Basic qualifications

2+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Experience with one or more scripting language (e.g., Python, KornShell) Preferred qualifications
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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, Seattle - 101,300.00 - 160,000.00 USD annually

About employer

More about this job

Skills

AWS
Data models
Troubleshooting
Data engineering
Data modelling
Warehouse operations
SQL
Oracle PL/SQL
DDL
MDX
Scala
Python
KornShell
Apache Hadoop
Apache Hive
Apache Spark
EMR
Informatica
Oracle Data Integrator
SQL Server Integration Services
Recruitment
Mental health

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