Washington

Data Jobs in Washington

286 jobs found

Include remote jobs

Today

AI Data Engineer

Experis Redmond, WA

Redmond, WA

Today

$37 - $40/hr Full time Artificial Intelligence Azure Data Engineer Data

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Job Description

Experis is hiring a Data Analyst 1 (AI Data Engineer) to support Applied Sciences teams in Redmond, WA on a 100% onsite basis. In this role, you will help keep OCR processing running smoothly, strengthen data quality for AI training readiness, and maintain clean, well-organized datasets that downstream teams can rely on.

What you’ll do

Monitor existing OCR pipeline processing, tracking processing queues, job status, completion rates, and any failed or stalled batches.
Review generated OCR outputs against source documents using sampling and established quality criteria.
Maintain accurate dataset metadata, inventories, and dataset versioning so datasets stay complete and organized for AI model training.
Coordinate Azure file operations, including uploads, downloads, and transfers of source files and generated datasets, verifying completion, file counts, and integrity.
Support reprocessing operations by documenting issues, escalating technical risks to engineers, and maintaining operational trackers and dashboards.

What you bring

B.S. degree plus 2+ years of hands-on experience in data analysis, data operations, data quality assurance, or dataset management.
Hands-on experience working with cloud storage, including file organization and uploads/downloads.
Experience evaluating data completeness, accuracy, consistency, and metadata quality.
Ability to use existing dashboards, processing tools, and logs to monitor workflows and investigate exceptions.
Familiarity with common document and data formats such as PDF, text, CSV, and JSON.

Tech stack

Azure
PDF
CSV
JSON

Schedule and pay

This is a Monday to Friday schedule with 40 hours/week and no estimated overtime. Rate is USD 37 to 40 per hour.

Benefits

Medical and Prescription Drug Plans
Dental Plan
Vision Plan
Health Savings Account
Health Flexible Spending Account
Dependent Care Flexible Spending Account
Supplemental Life Insurance
Short Term and Long Term Disability Insurance
Business Travel Insurance
401(k), Plus Match
Weekly Pay

Extension: Yes.

After the waiting period: consultants are eligible for the full set of benefits listed above.

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Today

Data Scientist III (AmSec)

Amazon.com Services LLC Seattle, WA

Seattle, WA

Today

$159k - $215k/yr Full time Aws Quicksight Big Data Data Science

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Job Description

Own complex, high-ambiguity security analytics problems and deliver scalable data science models to protect customer trust.

Responsibilities

Define problems and solution approaches independently in ambiguous, open-ended security data science spaces
Process and analyze large datasets using a broad set of data science techniques, choosing the right method for the situation
Build and run experiments to validate approaches and drive measurable outcomes
Deliver scalable models that efficiently analyze large data sets
Develop mathematical models to detect and classify specific data elements with high accuracy
Prototype models using high-level modeling languages such as R, and software languages such as Python
Lead large projects requiring both business and technical domain expertise, focused on significant business benefit
Influence multiple teams and build consensus with business, science, and engineering stakeholders
Advise senior managers and directors on data-driven security decisions
Mentor and develop other scientists
Conduct data science technical assessments
Participate in science and data-engineering code reviews
Create, enhance, and maintain technical documentation
Present findings to other scientists and business leaders, keeping teams current on relevant scientific advancements

Requirements

5+ years of experience with data querying languages such as SQL, scripting languages such as Python, or statistical/mathematical software such as R, SAS, Matlab, etc.
4+ years of experience as a Data Scientist
Experience with statistical models such as multinomial logistic regression

Preferred Qualifications

2+ years of experience with data visualization tools such as AWS QuickSight, Tableau, and R Shiny
Experience managing data pipelines
Experience leading and mentoring on a data science team

Tech Stack

SQL
Python
R
SAS
Matlab
Multinomial logistic regression
AWS QuickSight
Tableau
R Shiny

Location and Compensation

Location: Seattle, WA (onsite)
Salary: USD 159,200 - 215,300 per year
Experience: 4+ years

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription; Basic Life & AD&D; 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
Parental leave

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1d ago

Data Analyst

Aquent Talent Redmond, WA

Redmond, WA

1d ago

$47 - $53/hr Full time Data Analysis Data Analytics Data Integration

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Job Description

In this Data Analyst role, you will work closely with senior management and technical partners to shape data requirements and deliver scalable reporting. Aquent Talent is focused on enterprise-grade data systems, where your work supports reliable ETL operations, strong database design, and clear translation of complex information into actionable insights.

Based in Redmond, WA, this position is onsite with an hourly rate of USD 47–53. The role requires 2+ years of relevant professional experience and a Bachelor’s degree in a technical field such as Computer Science, Computer Engineering, or a related discipline.

What you’ll do

Partner with senior management, technical teams, and internal clients to define data requirements, support business data strategies, and apply best practices for advanced data manipulation, storage, and analysis.
Create and code logical and physical database descriptions, helping communicate database identifiers to management systems or guiding others through implementation.
Design, implement, automate, and maintain large-scale enterprise ETL (Extract, Transform, Load) processes to ensure data integrity and availability.
Modify existing databases and database management systems, or direct programmers and analysts to make required adjustments.
Test programs and databases, identify and correct errors, and implement changes to improve performance and accuracy.

What you bring

Proven experience with various database technologies.
Solid understanding and practical experience with the ETL process.
Proficiency in at least one scripting language.
Exceptional written and oral communication skills, with the ability to explain complex technical information clearly to diverse audiences.
Strong troubleshooting and problem-solving skills, including the ability to break down complex issues and deliver effective solutions.
A demonstrated history of success in previous roles, including the ability to deliver results.
A genuine interest in working with data and enabling data-driven business decisions.
A Bachelor’s degree in a technical field such as Computer Science, Computer Engineering, or related discipline.
2–4 years of relevant professional experience in data analysis or a related field.

Technologies

ETL (Extract, Transform, Load)
Database technologies
Scripting language

Stand out with

More extensive experience in core data analysis hard skills, indicating deeper expertise.
Additional knowledge or experience with Artificial Intelligence (AI) concepts and applications.

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2d ago

Data Engineer II, Sales Data Services (SDS)

Amazon.com Services LLC Seattle, WA

Seattle, WA

2d ago

$132k - $179k/yr Full time Amazon Web Services Analytics AWS

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Job Description

Amazon Advertising’s Sales Data Services (SDS) team is hiring a Data Engineer II to build and support data warehouse and data lake infrastructure for pan-Amazon sales intelligence.

Responsibilities

Design, implement, and support data warehouse and data lake infrastructure using AWS big data stack, Python, and Redshift
Develop and manage ETLs to pull data from multiple data lakes and create a unified data model for analytics and reporting
Enable self-serve analytics by supporting both technical and non-technical internal customers
Provide ad-hoc reporting support as needed for internal stakeholders
Build deep understanding of large data sources to determine which data to use, and when, to solve business problems
Manage numerous concurrent requests, prioritizing strategically and collaborating across teams to deliver results
Mentor other engineers, contribute to positive team culture, and help grow the team

Requirements

3+ years of data engineering experience
1+ years developing and operating large-scale data structures for BI analytics using ETL/ELT processes
1+ years developing and operating large-scale data structures for BI analytics using OLAP technologies
1+ years developing and operating large-scale data structures for BI analytics using data modeling
1+ years developing and operating large-scale data structures for BI analytics using SQL
1+ years developing and operating large-scale data structures for BI analytics using Oracle
3+ years of in the job offered or a related occupation experience
1+ years developing and operating large-scale BI data structures using each: ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform)
Bachelor’s degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Mathematics, or a related field
Experience with data modeling, warehousing, and building ETL pipelines

Technologies

AWS
Python
Redshift
ETL
ELT
OLAP
SQL
Oracle
Data warehouse, data lake, data modeling, data warehousing
ETL pipelines
S3
AWS Glue
EMR
Kinesis
FireHose
Lambda
IAM

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription)
Basic Life & AD&D insurance
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
Parental leave

Preferred Qualifications

Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases/data stores, including object storage, document or key-value stores, graph databases, or column-family databases

Location: Seattle, WA (onsite)

Compensation: USD 132,100 - 178,800 per year

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2d ago

Data Analyst - Rail/Transit

Network Rail Consulting Seattle, WA

Seattle, WA

2d ago

Full time Analytical Skills Analytics Business Analytics

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Job Description

Network Rail Consulting is hiring a Data Analyst in Seattle, WA for a hybrid role supporting client project teams. You will help strengthen transit asset management by extracting, compiling, analyzing, and visualizing data, with the ability to turn findings into clear dashboards and presentations for both internal and external audiences.

What you’ll work on

Compile data from client systems, including Trapeze EAM, Maximo EAM, and various LMS / EAM / ERP sources for training and inventory data.
Perform data mapping to support data migration and data conformance evaluation.
Develop data definition/dictionaries with subject matter experts (SMEs).
Evaluate data quality against agency data quality metrics and propose a remediation plan.
Partner with the data governance program to develop data standards.
Create reference data and taxonomies to improve consistency and usability.
Extract, organize, and analyze data for trending, and compare ERP/EAM program needs and requirements.
Support recommendations by providing feedback on data remediation proposals.
Ensure data quality and compliance with applicable state and federal laws and regulations.
Design and build dashboards in Excel and Power BI for internal and external use.
Prepare PowerPoint presentations for internal and external audiences.
Assist the client, Project Manager, or project team as required.

Skills and qualifications

Recent graduate with a Bachelor’s or master’s Degree (or equivalent) in a relevant field.
Highly skilled in Power BI, Excel, and PowerPoint.
Excellent communicator and writer, with strong presentation and documentation skills.
Experience with MS Co-Pilot.
Strong visual storytelling ability to make data easy to understand.
Excellent listening skills and the ability to work independently with clients.
EAM / CMMS experience is strongly preferred.
Previous experience with ERP / LMS / GIS applications is desirable but not essential.

Tools you’ll use

Trapeze EAM, Maximo EAM, LMS, EAM, ERP, Excel, Power BI, PowerPoint, MS Co-Pilot, CMMS

Benefits

Competitive compensation packages
Healthcare insurance premiums (100% paid for by us)
Generous vacation leave entitlement
401K with employer matching contributions
Access to Employee Discount Program via LifeMart

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2d ago

Machine Learning Engineer

Adidev Technologies Inc Seattle, WA

Seattle, WA

2d ago

Full time Ai Ml Artificial Intelligence Automation

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Job Description

Adidev Technologies Inc is looking for a Machine Learning Engineer to help deploy advanced machine learning models with a special focus on Generative AI. You will work from modeling through deployment and monitoring, building AI-driven solutions that translate complex data into practical outcomes.

This is an onsite role in Seattle, WA, with compensation that aligns with experience and market value. The team also supports your move with paid relocation and provides remote assistance even when you are not onsite. There are regular salary reviews tied to your performance and the market. Beyond compensation, Adidev emphasizes long-term growth through structured guidance and project support.

How you’ll guide AI from idea to production

Architect and refine sophisticated ML models and algorithms to convert complex datasets into actionable solutions.
Own the data modeling lifecycle, starting from understanding business requirements through deployment and monitoring.
Perform comprehensive data analysis, including preprocessing, feature engineering, and applying Generative AI algorithms to develop novel solutions.
Lead cross-functional collaboration to integrate Generative AI models into offerings, improving product capabilities and user experiences.
Use advanced analytical techniques to identify trends, anomalies, and opportunities for improvement across large datasets.
Apply data preprocessing, feature engineering, and algorithm optimization to improve both accuracy and efficiency.
Conduct exploratory data analysis to extract insights that influence strategic decisions.
Stay current on ML trends and best practices, including AutoML, MLOps, and interpretability frameworks.
Promote compliance with industry standards and regulatory requirements, with an emphasis on ethical AI.

What you bring

A degree in Computer Science, Engineering, Statistics, or a related technical field.
Demonstrable experience across one or more AI domains such as machine learning, deep learning, NLP, computer vision, and reinforcement learning.
Demonstrable experience with Generative AI models and frameworks used in industry settings, such as GANs or Transformers.
Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.
Strong fundamentals in algorithmic complexity and data structure optimization.
Excellent problem-solving, collaboration, and communication skills.
Ability to develop and implement cutting-edge ML models, with a particular focus on Generative AI applications including text generation, image synthesis, and creative AI.
Experience applying the latest research findings in AI, especially in Generative AI, to drive innovation.
Python proficiency and experience with ML libraries such as TensorFlow, PyTorch, and scikit-learn.
Strong background in cloud computing and big data platforms (AWS, Azure, GCP), including hands-on work with cloud-based ML services and serverless architectures.
Familiarity with DevOps for AI, including Docker, Kubernetes, CI/CD pipelines, and MLOps.
Ability to facilitate knowledge sharing and best practices in AI/ML, particularly around Generative AI.
Commitment to ethical guidelines and data privacy standards for AI implementations.

Tools you’ll likely work with

Python, TensorFlow, PyTorch, scikit-learn
GANs, Transformers
SQL, NoSQL
AWS, Azure, GCP
Docker, Kubernetes

How Adidev will support your growth

Teaching and Development: guidance to help you grow into a strong consultant delivering high-quality solutions to end clients.
Custom Support: access to multiple teams, including Development Managers and Tech Subject Matter Experts.
Project Placement: a market-expertise team supports you in securing and succeeding in projects with clients.
Career Growth: opportunities to build industry experience and advance your technical journey.

Diversity and equal opportunity

Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. They warmly welcome applications from candidates of all backgrounds, experiences, and walks of life.

How to apply

Submit a comprehensive application including your latest updated resume and a detailed cover letter highlighting your expertise.

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2d ago

Senior Machine Learning Engineer

Qualtrics Seattle, WA

Seattle, WA

2d ago

$178k - $216k/yr Full time Senior Artificial Intelligence Engineer

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Job Description

Qualtrics is hiring a Senior Machine Learning Engineer (hybrid) to advance ML and AI R&D and help personalize the Qualtrics experience using ML/AI features.

Responsibilities

Collaborate with peers to prioritize features and deliver customer value with urgency
Design scalable, robust, highly available microservices for statistical analysis and for building and deploying machine learning models
Implement new capabilities and optimize existing ones to improve customer experience
Apply pragmatic decision-making to solve complex algorithmic challenges efficiently
Work in a multi-disciplinary environment to implement, tune, and productize cutting-edge ML models for a rapidly growing business
Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data
Mentor others and lead collaborative projects to strengthen leadership and guide junior team members
Partner with specialists, tech-ops, and product managers, incorporating feedback into delivered outcomes
Lead and participate in design reviews, architectural discussions, and requirement definitions
Prototype and test approaches quickly for large, complex problems
Stay current with industry trends and academic research to assess new tools, frameworks, and modeling techniques
Attend daily stand-up meetings and coordinate with peers to prioritize work and deliver value to customers

Requirements

Bachelor’s degree in Computer Science or related fields
5 to 8 years of experience as a Machine Learning Engineer with a record of designing, implementing, and optimizing ML models for real-world applications, using frameworks such as TensorFlow or PyTorch
Strong computer science fundamentals in algorithm design, complexity analysis, and performance
Programming experience in at least one modern language such as Java, C#, or Python, including object-oriented design
Experience with applied machine learning models and large-scale ML systems
Excellent problem-solving and analytical skills, including breaking down complex problems into actionable components
Strong communication and collaboration skills for cross-functional teamwork

Technologies

TensorFlow
PyTorch
Java
C#
Python

Benefits

Wellness reimbursement: $300 per quarter for wellness activities (gym memberships, spa massages, workout equipment, meditation apps, and more)
Unlimited sick days
QGroup communities including MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development
Medical, dental, vision, life, and disability
401(k) with match
Paid time off
Wellness reimbursement
Mental health benefits
Sign-on bonus and restricted stock units may be included in an offer

Team & Mission

Data Intelligence Center of Excellence (DICE) provides AI/ML research and development services across product lines
Builds core machine learning infrastructure and services
Accelerates Qualtrics ML adoption by enabling engineering teams to experiment, design, build, monitor, and troubleshoot ML-powered applications using a platform with reusable components, patterns, and standards/best practices
Integrates advanced intelligence into everyday user experiences through close collaboration with product and engineering teams

Hybrid Work Model

In-office: three days per week (Mondays and Thursdays, plus one additional day selected by your organizational leader)
Other days: work where you want and own integration of work and life