Data engineer jobs in Bothell, WA and nearby

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

Counted Oct 30, 2026

Hiring at a glance

View jobs

Open jobs: 108
Employers: 45

Advertised starting pay

Average starting payUSD / year: $146,077Across 24 listings

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

Where work happens

Remote: 0%0 listings
Hybrid: 11%12 listings
On-site: 6%7 listings

Not specified: 82% (89 listings)

Employers hiring include Amazon.com Services LLC (30), Amazon (9), Amazon Development Center U.S., Inc. (9).

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 Bothell, WA and nearby

Within 25 miles

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Added 8 days ago
T
Senior Data Engineer
Tillster
Seattle, WA
- $150,000 to $175,000 USD / year
Added 8 days ago
H
Senior Data Engineer
Headway
Seattle, WA
- $180,000 to $225,000 USD / year
Added 8 days ago
Data Engineer (Starlink Mobile)
SpaceX
Redmond, WA
The Starlink Mobile network will expand Starlink’s vision by providing ubiquitous connectivity and seamless access to text, voice, and data for LTE phones and devices across the globe.
Added 9 days ago
Data Engineer II, GMAC FP&A
Amazon.com Services LLC
Seattle, WA
…capabilities to GME Finance teams. We are seeking an experienced Data Engineer to drive the team’s data strategy and vision. The data engineer will be responsible for design and build of…
Added 9 days ago
TA
Aerospace Senior Quality Data Technician/Analyst-Data Engineer
TRIGO ADR Americas
Redmond, WA
- $60 to $70 USD / hour
The Senior Quality Data Technician/Analyst will drive the successful execution and implementation of data related projects in support of TRIGO ADR Americas’ Aerospace Customers and…
Added 9 days ago
Data Engineer III, Hiring Lab
Indeed
Seattle, WA
Hiring Lab Data Engineers build and maintain the data pipelines, infrastructure, and production systems that
Added 10 days ago
M
Senior Data Engineer
Microsoft
Redmond, WA
- $119,800 to $261,000 USD / year
…further. Imagine being at the forefront of a revolution powered by Data and AI (Artificial intelligence), transforming Marketing at Microsoft into a true “Frontier Organization” that drives…
Added 10 days ago
Data Engineer, Amazon Live Data Engineering, Sciences and Analytics (DESA)
Amazon.com Services LLC
Seattle, WA
Added 11 days ago
Data Engineer, Amazon Security Experience
Amazon.com Services LLC
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 12 days ago
Data Engineer, Analytics (Ranking, AI)
Meta
Bellevue, WA
…developing techniques that better leverage anonymized, aggregated data. While there is…
Added 12 days ago
TW
Data Engineer II
The Walt Disney Company
Seattle, WA
- $106,900 to $150,100 USD / year
…of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business…
Added 12 days ago
Senior Data Engineer, IT Enterprise Data Solutions
Bill and Melinda Gates Foundation
Seattle, WA
Added 12 days ago
Data Engineer, WWASFT
Amazon
Seattle, WA
WorldWide Amazon Stores FinTech (WWASFT) team is looking for an Data Engineer who is data-driven, uncompromisingly detail oriented, smart, efficient, and driven to help our business…
Added 12 days ago
Senior Data Engineer (Contract) - Data Quality & Systems Forensics
Unilever
Seattle, WA
Senior Data Engineer - Data Quality & Systems Forensics
Added 12 days ago
Data Engineer I, Business Data Technologies
Amazon
Seattle, WA
Business Data Technologies (BDT) makes it easier for teams across Amazon to produce, store, catalog, secure, move, and analyze data at massive scale. Our managed solutions combine standard…
Added 12 days ago
Data Engineer, WW Pricing - Data & Analytics
Amazon
Seattle, WA
You will be joining WW Pricing Data & Analytics team which consists of several Data Engineers and Business Intelligence Engineers
Added 12 days ago
Data Engineer, Amazon Prime
Amazon
Seattle, WA
Added 12 days ago
PW
Purchasing Data Engineer
Paccar Winch Inc.
Bellevue, WA
- $90,400 to $141,800 USD / year
Added 13 days ago
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Data Engineer II
Microsoft
Redmond, WA
- $102,100 to $219,200 USD / year
…Windows Servicing Delivery (WSD) organization, is looking for a Data Engineer II to help build the data foundation for engineering, customer supportability, customer escalation, and…
Added 13 days ago
Sr. Associate, Data Engineer - PySpark
KPMG LLP
Seattle, WA
Added 13 days ago
IG
Data Engineer
Insight Global
Bellevue, WA
- From $60 USD / hour
· 5+ years developing cloud solutions as a Data Engineer
Added 13 days ago
T
Research Data Engineer
TEKsystems
Redmond, WA
- $70 to $90 USD / hour
DescriptionThis client Research Data Engineer to support the development of Computer Use Agents (CUA) and next-generation AI systems.This role sits at the intersection of data engineering,…
Added 14 days ago
WD
Sr Data Engineer
Walt Disney Attractions Technology LLC
Seattle, WA
- $135,200 to $181,200 USD / year
Added 14 days ago
AC
Sr. Data Engineer (Microsoft Fabric & AI)
Artic Consulting
Redmond, WA
- $115,000 to $120,000 USD / year
…delivering digital transformation through innovative solutions in data, cloud, and business analytics. We are seeking a skilled Data Engineer with a strong focus on the Microsoft Fabric…
Added 15 days ago
Data Engineer, SPTC
Amazon.com Services LLC
Seattle, WA
…growing successful businesses. We are looking for an exceptional data engineer to help us develop new ways to build trust and loyalty with sellers, a crucial component of our…

Amazon.com Services LLC

Data Engineer, Amazon Security Experience

Seattle, WA, United States

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Job details

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

Original job description

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

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