Washington

Engineer Jobs in Washington

102 jobs found

Include remote jobs

18d ago

Senior Software Engineer

PLEXSYS Camas, WA

Camas, WA

18d ago

$118k - $149k/yr Full time Senior C++ Data Management

Apply Now

Job Description

PLEXSYS is seeking a Senior Software Engineer to join its Camas, Washington headquarters. The role centers on designing, building, and refining corporate software applications, guiding the design process, and delivering feature specifications in an in-office environment. The position offers a salary range of USD 117,900 to 148,600 per year.

Responsibilities

Design, develop, and modify enterprise software applications to meet business needs.
Create precise feature requirement specifications and accompanying design documents.
Track development timelines, lead the design phase, and negotiate feature scopes with product development leads and product managers.
Leverage experience and judgment to plan and achieve assigned development objectives.
Provide leadership, mentorship, and guidance to junior and mid-level engineers.
Develop detailed software designs and implement or maintain code in line with duties.
Perform a range of complex engineering tasks.
Offer remote and on-site technical support to current and potential customers.
Manage schedules, deadlines, and overall development goals.
Fulfill additional duties as needed.

Requirements

Bachelor's degree in computer science or a related field; a Master's degree is desirable.
Four or more years of professional object-oriented software design and implementation experience.
Proven organizational, leadership, decision-making, and communication skills.
Ability to rapidly learn new technologies and adapt to changing needs.
Strong critical thinking abilities and creative problem-solving.
Willingness to travel periodically as business needs dictate.
Eligibility to obtain and maintain a US Security Clearance at the Secret level.

Technologies

C++, SCALA, Qt/QML
JIRA, Confluence, Visual Studio, Perforce
Artificial Intelligence, Machine Learning, Database Management

Benefits

Medical,Vision,Prescription/Dental Benefits
Life, AD&D and Long Term Disability Coverage
Paid Holidays, Military Leave, and Paid Time Off
401k Plan with eligibility from first day of employment
Education reimbursement for job-related courses for full-time employees
PriceClub/COSTCO/Sam's Club annual membership

Desirable

Knowledge of modeling and simulation concepts and practices
Experience writing software using C++ and SCALA
Experience writing software with Qt/QML
Experience with voice and audio sampling, formats, streaming, and processing
Knowledge of RF and radio transmission systems
Experience utilizing Artificial Intelligence and Machine Learning technologies, including training AI models
Ability to analyze, debug, and optimize a complex software project
Experience working with modeling and simulation software products and concepts
Military experience in a Command and Control or Intelligence Reconnaissance and Surveillance career field
Ability to set up, configure and troubleshoot a local area network
Familiarity using JIRA, Confluence, Visual Studio, and Perforce
Familiarity with SISO and DMO Standards
Experience in Database Management

View full job page →

18d ago

Machine Learning Engineer - E-commerce Risk Control

TikTok Seattle, WA

Seattle, WA

18d ago

$148k - $301k/yr Full time Ai Ml Analytics Artificial Intelligence

Apply Now

Job Description

TikTok seeks a Machine Learning Engineer focused on E-commerce Risk Control in Seattle to design ML solutions that prevent and detect risks across TikTok Shop and related platforms, collaborating with cross-functional teams to secure the ecosystem.

Responsibilities

Invent, implement, and deploy state of the art machine learning algorithms to respond to and mitigate business risks across TikTok products and platforms
Prototype new solutions, define experiments to test hypotheses, and share insights with product and engineering teams
Partner with multidisciplinary teams to enhance current automation and risk defense workflows
Develop efficient data querying infrastructure for offline and online analysis, uncover evolving attack patterns, and identify opportunities to strengthen defenses
Define risk control metrics, quantify and monitor risk related business and operational indicators, and align stakeholders on data-driven goals
Document technical work and communicate results through writing, visualizations, and presentations to diverse audiences

Requirements

Master’s degree in Computer Science, Mathematics, Machine Learning, or related STEM field; or equivalent experience
2+ years of hands-on experience building and delivering ML models for large-scale projects
Track record of developing models and visualizations using programming and scripting languages (Scala, Python, R, Ruby, Matlab)
Experience with forecasting, machine learning, and statistical tools, plus clear communication of results, plans, and risks
Creative problem solving and strong analytical thinking
A PhD in CS, Machine Learning, Statistics, Operations Research, or related field
3+ years of industry experience in predictive modeling and analysis
Experience collaborating with product, operations, and engineering teams is a plus
Excellent analytical and communication skills with the ability to influence stakeholders
Experience in e-commerce or online companies in fraud or risk control functions

Technologies

Java
C++
Python
Scala
R
Ruby
Matlab

Benefits

Medical, dental, and vision insurance
401(k) with company match
Paid parental leave
Short-term and long-term disability coverage
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time, prorated at start and accruing with tenure
Additional discretionary bonuses or incentives
Restricted stock units

Job details

Location: Seattle, WA (onsite)
Employment type: Regular
Salary: USD 148,200 - 300,960 per year
Job code: A45354
Education: Master’s degree
Experience: 2+ years

View full job page →

18d ago

Machine Learning Engineer, Search engine, E-Commerce Alliance

TikTok Seattle, WA

Seattle, WA

18d ago

$148k - $301k/yr Full time Ai Ml Algorithms Analytics

Apply Now

Job Description

The Machine Learning Engineer will design, build, and optimize large-scale ML systems for TikTok's E-Commerce Alliance, focusing on search and matching to enhance ranking, query analysis, and monetization for merchants and creators.

Summary

Role involves developing and refining large-scale machine learning algorithms to enhance e-commerce search and matching on the platform, optimizing ranking signals, query interpretation, and monetization strategies for merchants and creators.

Responsibilities

Design and deploy scalable ML algorithms to deeply optimize e-commerce search, covering ranking, query analysis, correlation calculations, and key business indicators across sorting scenarios such as relevance, click-through rate, and conversion rate.
Develop ML solutions and strategic approaches through analysis and mining of extensive user queries to empower the merchant side and improve the platform's overall matching capability.
Leverage large-scale data to study creator and merchant behaviors and craft targeted algorithm strategies to empower both groups, enhance monetization efficiency, and drive industry upgrading.
Support rapid growth of TikTok's e-commerce business by serving millions of merchants, exploring efficient business models, delivering an optimal shopping experience, and promoting a healthy ecosystem.

Requirements

Proficiency in at least one programming language (C++, Python, Shell) with solid fundamentals and clean coding practices.
Experience in algorithm development, including application and optimization of Sparse LR, DFFM, Deep&Wide, and DSSM on large-scale sparse data.
Familiarity with at least one mainstream deep learning framework (TensorFlow, Caffe, MXNet) and knowledge of common deep learning algorithms.
Ability to work independently while maintaining strong teamwork and communication skills.
Experience in search engines, recommender systems, or computational advertising is preferred.

Technologies

C++
Python
Shell
Sparse LR
DFFM
Deep&Wide
DSSM
TensorFlow
Caffe
MXNet

Benefits

Medical, dental, and vision insurance from day one
401(k) savings plan with company match
Paid parental leave
Short-term disability
Long-term disability
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time, prorated at hire with tenure-based accruals

Location

Seattle, WA (onsite)

Employment Type

Regular

Job Code

O2281

Los Angeles County (Unincorporated) Candidate Disclosures

Interacting with internal or external clients and colleagues may occur, including instances of unsupervised contact.
Appropriate handling and management of confidential information, including proprietary and trade secret material, and access to information technology systems.
Exercising sound judgment in relevant professional scenarios.

View full job page →

18d ago

Mechanical Engineer, Data Center Engineering

Amazon Web Services, Inc. Seattle, WA

Seattle, WA

18d ago

$117k - $160k/yr Full time AutoCAD Autodesk Construction Cloud BIM

Apply Now

Job Description

This on-site role is based in Seattle, WA with a salary range of USD 116,800 to 160,000 per year.

Responsibilities

Design and implement energy efficient mechanical systems for data centers
Collaborate with cross functional teams to develop innovative cooling solutions and sustainability initiatives
Leverage BIM and Revit for modeling, documentation and coordination
Produce comprehensive documentation for mechanical designs and operational procedures
Drive continuous improvement through data analysis and system optimization
Guide project teams through planning, execution and commissioning phases
Initiate and lead projects with broad impact on infrastructure design, innovation and implementation
Decompose complex problems into clear, actionable solutions
Collaborate with professionals from other disciplines, cultures and countries
Communicate clearly with varying levels of technical ability and background
Prepare detailed design specifications, white papers, wiring schematics, diagrams and reports
Safeguard implementation of the Global Mechanical Basis of Design with ongoing auditing
Drive standardization across data center mechanical designs
Develop strategic solutions that meet quality and budget requirements
Capture requirements and translate goals into well defined, testable specifications
Define project scope and provide technical support during innovation and R&D initiatives
Coordinate with regional vendors and manufacturers to specify suitable mechanical equipment
Review and approve critical equipment submittals including vendor witness tests
Provide technical support for global Large Scale Events, including deep dives and mitigation recommendations
Maintain and host technical mechanical forums to foster collaboration on data center systems
Mentor for the broader Data Center Engineering community
Apply creative, out of the box thinking to solutions

Requirements

4+ years of industrial or commercial engineering experience in mission critical facilities including data centers, power generation or oil and gas facilities
Experience researching new designs, technologies and construction methods for data center equipment and facilities
Bachelor's degree in Engineering or a related field
Experience with CAD software such as AutoCAD, Revit and BIM 360
6+ years of design, construction, operations or facility maintenance experience
Proficiency in Microsoft Office applications including Outlook, Word and Excel

Technologies

BIM
Revit
AutoCAD
BIM 360
Microsoft Office

Benefits

Sign on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription)
Basic Life & AD&D insurance
Option for Supplemental life plans
Employee Assistance Program (EAP)
Mental Health Support
Medical Advice Line
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave

Preferred Qualifications

Professional Engineer License
Experience with building codes and regulations for the relevant region
Experience carrying design concepts through exploration, development, and deployment or mass production
Experience reading, interpreting and creating construction drawings, specifications and submittal documents

View full job page →

18d ago

Data Engineer II, AWS Sustainability Technology

Amazon Data Services, Inc. Seattle, WA

Seattle, WA

18d ago

$132k - $179k/yr Full time AWS Aws Glue Bigdata

Apply Now

Job Description

Amazon Data Services, Inc. is seeking a Data Engineer II to support AWS Sustainability Technology in Seattle, onsite.

Responsibilities

Design, develop, and operate scalable data pipelines and models that enable sustainability measurement across AWS, covering life-cycle assessments, material flow analysis, carbon allocation, and service-level sustainability profiles
Collaborate with research and applied scientists to productionize sustainability models (LCA, MFA, Scope 3) into reliable, automated production-grade systems
Create and maintain data products for the AWS Supplier database to enable sustainability-informed procurement and supply-chain decisions
Develop the data infrastructure for Service Sustainability Profiles (SSP), a system that measures and attributes environmental impact at the service level, helping AWS service teams understand and reduce their footprint while providing customers with granular, accurate carbon data
Maintain data quality, lineage, and trust to ensure outputs meet standards required for third-party assurance and customer-facing reporting
Contribute to the Sustainability Data Platform (SDP) by building shared data infrastructure that scales across Circular Economy, Scope 3, and Net Zero initiatives
Support the move toward decision intelligence by delivering self-service data products that shorten the path from sustainability questions to grounded answers

Requirements

3+ years of data engineering experience
Experience with data modeling, warehousing, and building ETL pipelines
Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases and data stores (object storage, document or key-value stores, graph databases, or column-family databases)

Technologies

Redshift
S3
AWS Glue
EMR
Kinesis
FireHose
Lambda
IAM

Compensation

USD 132,100 - 178,800 per year

Benefits

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans)
Employee assistance program (EAP) and mental health support
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave

View full job page →

18d ago

Software Engineer II, AWS DynamoDB

Amazon.com Services LLC Seattle, WA

Seattle, WA

18d ago

$144k - $194k/yr Full time Backend Developer Cloud Operations Database

Apply Now

Job Description

Based in Seattle, WA onsite, this Software Engineer II role focuses on the DynamoDB storage engine that powers reads and writes globally. You will own end-to-end features within the storage engine and implement changes in Java and Rust to optimize replication and reduce tail latency.

Responsibilities

Own end-to-end feature lifecycles, including requirements gathering, design discussions, design reviews, implementations, code reviews, incremental launches, operations, mentoring, and driving continuous improvement.
Take ownership of features in the storage engine that power all DynamoDB reads and writes worldwide.
Implement changes in Java and Rust to optimize replication, lower tail latency, or add new capabilities, validated through capacity tests across dozens of instance types.
Participate in on-call rotations (~1 week per quarter) to diagnose production issues across 30+ regions in real time.
Review teammates’ code daily, contribute to designs affecting systems with millions of nodes, and deliver through rigorous phased rollouts.
Engage in deeply technical, exabyte-scale work with a direct impact on DynamoDB durability guarantees.

Requirements

3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture experience (design patterns, reliability and scaling) of new and existing systems
Experience programming with at least one programming language

Technologies

Java
Rust
DynamoDB

Compensation

Annual salary range: USD 143,700 – 194,400.

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

Education and Experience

Bachelor's degree in computer science or equivalent
Minimum experience: 2 years of non-internship professional software development experience

View full job page →

19d ago

Data Engineer II

Amazon.com Services LLC Seattle, WA

Seattle, WA

19d ago

$132k - $179k/yr Full time Analytics AWS Bigdata

Apply Now

Job Description

Amazon.com Services LLC is seeking a Data Engineer II to join the Perfect Order Experience - Centralized Analytics and Data Engineering team in Seattle, onsite. This role centers on designing and building scalable analytical platforms and data pipelines that empower advanced analytics across large data sets, collaborating with Engineering and Science teams to apply statistical methods, prediction, clustering, and machine learning. The position offers a salary range of USD 132,100 to 178,800 per year and requires a solid foundation in SQL and data engineering with a quantitative/technical degree.

Responsibilities

Plan, construct, and maintain an analytics platform that provides access to large-scale datasets and sufficient compute power.
Create and operate data clusters that deliver access and insights aligned with business needs.
Develop and sustain data pipelines to move relevant data to the appropriate destinations.
Apply data modeling best practices to design robust data structures.
Collaborate with Engineering and Science teams to implement advanced analytics algorithms that leverage rich data for statistical analysis, prediction, clustering, and machine learning.
Promote and apply best practices in reporting and analysis, including data integrity, test design, analysis, validation, and documentation.
Build reliable and scalable data integration (ETL) pipelines.
Create and evangelize data handling best practices across the organization.
Work with other technology teams to extract, transform, and load data from a wide variety of sources.
Continuously improve reporting and analysis processes, automating or simplifying self-service support for customers.

Requirements

5+ years of SQL experience.
5+ years of experience in data engineering, database engineering, business intelligence, or business analytics.
Experience with data warehouse architectures, data modeling, infrastructure components, ETL/ELT and reporting/analytic tools, data structures, and hands-on SQL coding.
Knowledge of databases, storage concepts, and big data concepts.
Experience building and operating highly available, distributed systems for data extraction, ingestion, and processing of large data sets.
Bachelor’s degree or higher in a quantitative/technical field such as computer science, engineering, or statistics.
Demonstrable advanced SQL skills with large data sets (e.g., Oracle, SQL Server, Redshift).

Technologies

SQL
Oracle
SQL Server
Redshift
S3
AWS Glue
EMR
Kinesis
FireHose
Lambda
IAM

Benefits

Health insurance including medical, dental, vision, prescription coverage, Basic Life & AD&D, with options for additional life plans, EAP, mental health support, Medical Advice Line, Flexible Spending Accounts, and Adoption/Surrogacy reimbursement.
401(k) matching.
Paid time off.
Parental leave.
Sign-on payments and restricted stock units (RSUs).

About the Team

CADE’s mission is to unify best practices in data engineering, BI technology, and data-driven innovation to enhance data governance, productivity, and customer insights. Operating within a centralized structure, CADE focuses on advancing the data platform, building consolidated source-of-truth datasets, dashboards and reports, conducting holistic deep dives and research, and guiding AI initiatives and data strategies.