Data engineer jobs in Tacoma, WA and nearby (23 jobs)

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

Counted Nov 9, 2026

Hiring at a glance

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Open jobs: 23
Employers: 7

Advertised starting pay

Not enough comparable pay figures yet.

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

Where work happens

Remote: 0%0 listings
Hybrid: 0%0 listings
On-site: 0%0 listings

Not specified: 100% (23 listings)

Employers hiring include Amazon (15), PACCAR Inc (3), IBM (1).

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 Tacoma, WA and nearby

Within 25 miles

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Added 1 day 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 2 days ago
Senior Data Engineer, AWS Analytics Engineering
Amazon
Seattle, WA
The AWS Analytics Engineering (AAE) organization is the analytics backbone of AWS - we build and operate the data platform that powers business decisions across more than 150 AWS services.…
Added 2 days ago
Senior Data Engineer, AWS Analytics Engineering
Amazon
Seattle, WA
The AWS Analytics Engineering (AAE) organization is the analytics backbone of AWS - we build and operate the data platform that powers business decisions across more than 150 AWS services.…
Added 2 days ago
Senior Data Engineer, AWS Analytics Engineering
Amazon
Seattle, WA
The AWS Analytics Engineering (AAE) organization is the analytics backbone of AWS - we build and operate the data platform that powers business decisions across more than 150 AWS services.…
Added 3 days ago
Data Engineer I, Fire TV
Amazon
Seattle, WA
…day. The FAA Decision Science organization is looking for a Data Engineer who is excited to build the data infrastructure powering analytics, experimentation, forecasting, and business…
Added 3 days ago
Agentic Data Engineer, Frontier AI Tooling
Amazon
Seattle, WA
…solutions, and deliver them at scale? We are looking for a Data Engineer to own the data foundations behind the products and experiences that span ProServe, Frontier AI, and services teams…
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 5 days ago
P
SAP Analytics and Data Engineer
PACCAR
Renton, WA
- $104,000 to $162,000 USD / year
Added 7 days ago
Management Consultant - Data Engineer
IBM
Seattle, WA
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…
Added 10 days ago
Data Engineer, Partner Experience
Amazon
Seattle, WA
Added 10 days ago
Data Engineer II, AWS Marketplace and Partner Services
Amazon
Seattle, WA
As a Data Engineer on the AMPS team, you will work directly with Software Engineering, Business Intelligence, Data Science, a
Added 14 days ago
SC
Sr. Data Engineer
Seattle Children's
Seattle, WA
- $133,247 to $199,871 USD / year
The Senior Data Engineer responsibilities include building a data processing pipeline that collects, connects, centralizes, and curates data from various internal and external sources using…
Added 16 days ago
Senior 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 16 days ago
P
Data Engineer Manager
PACCAR
Renton, WA
- $119,000 to $186,000 USD / year
Added 19 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 22 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 22 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 22 days ago
Senior Data Engineer (Contract) - Data Quality & Systems Forensics
Unilever
Seattle, WA
Senior Data Engineer - Data Quality & Systems Forensics
Added 22 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 22 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 22 days ago
Data Engineer, Amazon Prime
Amazon
Seattle, WA
Added 25 days ago
P
Data Engineer
PACCAR
Renton, WA
- $90,000 to $141,000 USD / year

No more jobs.

Amazon

Senior Data Engineer, AWS Analytics Engineering

Seattle, WA, United States

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Job details

Experience: 7+ years of data engineering experience
Posting language: English
Posted: Oct 14, 2026

Original job description

Description

The AWS Analytics Engineering (AAE) organization is the analytics backbone of AWS - we build and operate the data platform that powers business decisions across more than 150 AWS services. Every insight surfaced to AWS product leadership, from service adoption trends to revenue drivers, flows through systems our team designs, builds, and maintains.

We operate at massive scale - processing petabytes of data daily through thousands of jobs consisting of transformations, reporting queries, ingestions, and infrastructure management scripts. Our engineers work directly with source systems 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 Senior Data Engineer to join our team. This individual will own 3-5 data domains end-to-end, operate hundreds of pipelines, and drive architectural improvements that impact how AWS leadership makes decisions. You will partner with service teams across AWS to design data contracts, build ingestion flows, and deliver analytical models that serve the entire organization.

The ideal candidate is a technical leader who thrives in ambiguity, takes a long-term architectural view, and consistently delivers exemplary solutions. You are an expert with SQL, ETL, and data processing, with experience leveraging cloud-based data services such as AWS EMR, Glue, Redshift, and Lambda. The candidate should have hands-on experience with AI/ML technologies, including LLMs, and a strong understanding of designing and building Agentic Frameworks - including autonomous agents, multi-agent orchestration, and tool integration. You are comfortable with ambiguity in a fast-paced environment, able to think big while paying careful attention to detail, and passionate about building data platforms using AI to accelerate the next generation of analytics at AWS scale.

Key job responsibilities

Identify limitations and opportunities in data processing tools, drive improvements and innovation, define data processing guidelines, and ensure best practices in all pipelines designed and reviewed. For example: redesigning ingestion frameworks to handle new AWS service telemetry data, or building reusable transformation patterns adopted across multiple teams.

Define and own data architecture at the team level - ensuring architecture effectively matches business problems and data challenges with security, scalability, and cost effectiveness. Show good judgment making technical trade-offs between short-term technology needs and long-term business needs.

Produce exemplary code - solutions that are easily usable by customers, inventive, secure, easily maintainable, appropriately scalable, and extensible. Build solutions that are easy for others to contribute to. Work to simplify, optimize, and remove bottlenecks.

Define and own infrastructure architecture at the team level. Anticipate data management and access patterns, evolve the technology stack to remove bottlenecks, and deliver systems that are secure, scalable, and long lasting. Define team-level guidelines and best practices for infrastructure management and automation.

Solve complex ambiguous problems - for example, designing cross-domain data models that unify billing, usage, and service telemetry data, or combining multiple datasets to solve problems that couldn't be solved before. Spot areas that might lead to customer confusion, data misinterpretation, or gaps in data contracts.

Effectively split project work into parallel tasks that can be performed by themselves and others and reassembled successfully. Drive to completion projects with dependencies on peers or other teams.

Influence related teams' data architecture and software design. Provide technical assessments for promotions. Actively mentor and develop others. Build consensus when confronted with discordant views.

Drive data engineering best practices - Data Discovery, Naming Conventions, Operational Excellence, Data Security. Ensure team's data is auditable, available, and accessible.

Proactively fix data architecture deficiencies and propose larger projects which may require the work of other teams. Drive improvements through code review, design discussions, team planning, and operational reviews.

Participate in on-call rotation and own operational health of data systems - establish monitoring, alarming, runbooks, and SLA tracking. Drive continuous improvement in reliability and incident response.

Basic Qualifications

7+ years of data engineering experience
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Experience mentoring team members on best practices
Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
Experience building data products incrementally and integrating and managing data sets from multiple sources
Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy
Experience providing technical leadership and mentoring other engineers for best practices on data engineering
Experience with MPP databases such as Amazon Redshift
Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
5+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience

Preferred Qualifications

Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience operating large data warehouses
Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
Experience delivering results for large, cross-functional initiatives/projects, or experience communicating results to senior leadership
Experience with enterprise-scale infrastructure or development-based cloud programs/projects in a related industry
Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets, or experience with software development lifecycle

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 - 154,600.00 - 209,100.00 USD annually

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