Bellevue, WA

Engineer Jobs in Bellevue, WA

30 jobs found

Include remote jobs

Today

Software Engineer

Salesforce Bellevue, WA

Bellevue, WA

Today

$117k - $194k/yr Full time Backend Developer Ai Development Tools APIs

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Job Description

Salesforce is hiring a Software Engineer (GovCloud) in Bellevue, WA (onsite) to help build and run large-scale distributed systems and public-cloud infrastructure automation. This role blends production engineering with AI agent capabilities, focusing on concurrency, reliability, security, and the practical use of Infrastructure-as-Code.

In this position, you will deliver automation tools, develop resilient backend services, and integrate AI into production workflows in a way that improves efficiency without compromising correctness, security, or performance. The work includes building shared system context to help AI operate accurately and reliably across complex, real-world constraints.

What you’ll do

Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms across public cloud environments including AWS, GCP, Azure, or Alibaba
Design, develop, debug, and operate distributed systems that run across thousands of compute nodes across multiple data centers
Build and ship production-grade software using modern engineering practices, using AI as a core part of development workflows through tools such as Cursor, Windsurf, Claude, and the OpenAI API
Use and contribute to open source technologies including Spinnaker and Zookeeper
Develop Infrastructure-as-Code with Terraform
Write microservices using containerization frameworks such as Kubernetes, Docker, and Mesos
Design and orchestrate complex systems where AI agents integrate into human workflows at scale
Contribute to a shared system context repository containing system designs, constraints, and standards that support accurate and reliable AI output
Critically evaluate code produced by humans or AI for correctness, quality, security, and performance
Resolve complex technical issues and drive innovations that improve availability, resilience, and performance
Balance live-site management, feature delivery, and retirement of technical debt
Participate in the team on-call rotation to address complex problems in real time and maintain highly available services

What you bring

Related technical degree required
3+ years of backend software development experience
Deep knowledge of programming in Java, Golang, Python, or Ruby
Experience owning and operating multiple instances of a critical service
Experience with Agile development methodology and Test Driven Development
Experience with critical infrastructure services including monitoring, alerting, logging, and reporting
Experience with distributed database systems and relational databases like PostgreSQL is a plus
A demonstrated, genuine AI-first approach to engineering, using AI to move faster and contributing beyond core specialty
Experience using AI tools in development workflows (e.g., Claude Code, GitHub Copilot, Codex, Cursor)
Advanced prompt engineering skills, including the ability to write precise, structured prompts and cultivate system context for reliable, secure, production-ready AI outputs

Technologies

AWS, GCP, Azure, Alibaba
Java, Golang, Python, Ruby
Cursor, Windsurf, Claude, OpenAI API
Spinnaker, Zookeeper
Terraform
Kubernetes, Docker, Mesos
Claude Code, GitHub Copilot, Codex
PostgreSQL

Compensation

USD 117,200 - 194,200 per year
Typical base salary range: $117,200 - $176,700 annually
In select cities within the San Francisco and New York City metropolitan area: $141,200 - $194,200 annually

Benefits

Time off programs
Medical
Dental
Vision
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program

Accommodations

If you need a reasonable accommodation during the application or recruiting process, please submit a request via the Accommodations Request Form.

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Today

Senior Software Engineer

Walmart Bellevue, WA

Bellevue, WA

Today

$108k - $216k/yr Full time Senior APIs Artificial Intelligence

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Job Description

Join Walmart in Bellevue, WA (onsite) and help deliver high-quality software that supports real customer and business outcomes. This role combines end-to-end engineering with AI and ML integration, with a focus on scalable solutions, operational excellence, and measurable performance improvements. You’ll work with collaborative teams to turn complex requirements into production-ready features and services.

Responsibilities

Own delivery of scoped features and model-related work through collaborative engineering teams, including implementation, iteration, testing, and ongoing support.
Write clean, efficient, and reliable code across multiple languages while driving the full software development lifecycle, including CI/CD and automated testing.
Integrate AI and ML components to enhance software intelligence using internal and external APIs.
Translate high-level designs into detailed, scalable, and maintainable solutions aligned with platform objectives.
Perform code reviews, debugging, and defect management to support software quality and performance.
Partner with stakeholders to convert business needs into technical requirements and measurable outcomes.
Monitor application performance and drive continuous improvement using proactive testing and observability.

Requirements

Proven expertise in object-oriented programming and documentation-based coding practices.
Strong technical acumen with experience in code review, debugging, and continuous development.
Demonstrated ability to deliver scoped features or models through collaborative engineering teams.
Proficiency in integrating AI/ML components and leveraging generative AI tools to enhance development.
Experience across the software development lifecycle, including CI/CD, automated testing, and monitoring.
Ability to design scalable, secure, and maintainable software aligned with business goals.
Effective communication and collaboration skills with both technical and non-technical stakeholders.
Commitment to engineering excellence, innovation, and continuous improvement.

Minimum Qualifications

Option 1: Bachelor’s degree in computer science, computer engineering, computer information systems, software engineering, or related area plus 3 years of experience in software engineering or related area.
Option 2: 5 years of experience in software engineering or related area.

Preferred Qualifications

Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area plus 1 year of experience in software engineering or related area.
Background creating inclusive digital experiences, including knowledge of implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating accessibility into digital experiences.
Knowledge of accessibility best practices and experience aligning work to accessibility standards and guidelines supporting an inclusive culture.

Benefits

Performance-based bonus awards
Health benefits including medical, vision and dental coverage
401(k)
Stock purchase
Company-paid life insurance
Paid time off (PTO, including sick leave), parental leave, family care leave, bereavement, jury duty, and voting
Short-term and long-term disability
Company discounts
Military Leave Pay
Adoption and surrogacy expense reimbursement
Live Better U (Walmart-paid education benefit program for full-time and part-time associates)

Compensation and Location

Salary range: USD 108,000 - 216,000 per year.
Primary location: 10900 NE 4th St, Bellevue, WA 98004, United States of America.
Work mode: Onsite.

Technologies: CI/CD, automated testing, observability, object-oriented programming, AI and ML, generative AI.

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1d ago

Data Engineer II

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

1d ago

$132k - $179k/yr Full time 3d Design Tools Amazon Emr Amazon Mwaa

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Job Description

In this Data Engineer II role within Amazon.com Services LLC, you will help build the data infrastructure that supports labor planning across the Amazon delivery network. UTR Planning Tech uses engineering foundations and an emerging AI-native approach to improve how planning systems are fed, validated, and operated at scale.

The team is moving away from hand-coded pipelines toward reusable, configuration-driven frameworks supported by AI agents. You will own key parts of the data architecture, design AI-powered data workflows, and raise standards for data quality, self-service access, and engineering execution.

What you’ll do

Design and own logical and physical data models for major datasets, producing coherent models that enable physical design and serve multiple downstream consumers.
Build and optimize ETL pipelines for complex datasets using AWS services including Redshift, S3, EMR, Glue, Lambda, and Athena, with orchestration using Python-based Airflow/MWAA for solutions that are testable, maintainable, and efficient.
Own the design of configuration-driven data frameworks that replace repetitive custom code for ingestion, transformation, and metric curation, using reusable and declarative patterns.
Build AI agent tooling and MCP-based interfaces so conversational agents can generate SQL, validate configurations, manage data quality rules, and execute pipeline operations through natural language.
Drive ongoing data quality for datasets you build by implementing standardized data contracts, defining SLAs, running data certification processes, and automating manual quality steps.
Collaborate with planning scientists, software engineers, BI engineers, and product managers to balance customer needs with technical constraints, influencing what gets built and how it’s shaped.
Improve self-service data access by creating analytical data models and tooling that reduce reliance on the DE team for common access patterns.
Improve engineering processes by automating manual operations, establishing monitoring and alerting standards, and strengthening code quality and dependency management practices.
Mentor engineers and interns, including training new team members on how the team’s data solutions are constructed, operated, and aligned with the broader architecture.
Participate in interview processes and contribute to recruiting for the team.

Minimum requirements

3+ years of data engineering experience.
1+ years developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes.
1+ years developing and operating large-scale data structures for business intelligence analytics using OLAP technologies.
1+ years developing and operating large-scale data structures for business intelligence analytics using data modeling.
1+ years developing and operating large-scale data structures for business intelligence analytics using SQL.
1+ years developing and operating large-scale data structures for business intelligence analytics using Oracle.
Experience with data modeling, warehousing, and building ETL pipelines.

Technologies

Amazon Redshift, S3, EMR, AWS Glue, Lambda, Athena
Python, Airflow, MWAA
MCP, SQL, Oracle
ETL/ELT, OLAP
Kinesis, FireHose, IAM roles and permissions

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.

Role context and scale

UTR Planning Tech builds the data infrastructure that powers labor planning across 12 Amazon last-mile and sort-center business lines. Pipelines feed planning systems used to determine how Amazon staffs its delivery network, serving hundreds of sites and processing millions of data points daily.

Compensation and location

Location: Bellevue, WA (onsite)
Salary: USD 132,100 - 178,800 per yearly

Benefits

Sign-on payments
Restricted stock units (RSUs)
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
Parental leave

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22d ago

Associate AI Engineer

T-Mobile USA, Inc. Bellevue, WA

Bellevue, WA

22d ago

$81k - $161k/yr Full time Ai Engineering Ai Model Optimization Ai Systems Architecture

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Job Description

An Associate AI Engineer role is available with T-Mobile USA, Inc. in Bellevue, WA with an onsite work arrangement. In this position, you will support the development and optimization of artificial intelligence (AI) models aimed at improving customer service automation, with a focus on practical performance in production environments.

You will use prompt engineering and fine-tuning techniques, collaborate with cross-functional teams, and help contribute to AI system architecture that supports reliable, accurate, and efficient customer interactions.

What you’ll do

Apply prompt engineering techniques to enhance AI model performance for customer service automation
Collaborate with cross-functional teams to integrate AI-driven enhancements into production systems
Support the development and optimization of AI models to meet operational goals
Contribute to AI system architecture to improve customer interactions
Ensure reliability, accuracy, and efficiency of AI applications in customer service operations
Perform fine-tuning to improve AI performance and user satisfaction
Complete other duties and projects as assigned by business management

Required qualifications

Bachelor's Degree OR a combination of education and experience deemed equivalent
Cloud Computing
Collaboration
Customer-Focused approach
Data Analysis
Data Management
Data Modeling
Model Tuning
Prompt Engineering
Must be at least 18 years of age
Must be legally authorized to work in the United States

Preferred qualifications

Acceptable areas of study include Computer Science, Engineering, or a related field
Less than 2 years developing and optimizing AI models, particularly for customer service automation
Less than 2 years applying AI techniques such as prompt engineering and fine-tuning
Less than 2 years collaborating with cross-functional teams to integrate AI-driven solutions into production systems

Certifications (preferred)

Certified Analytics Professional (CAP)
Machine Learning Certification

Compensation and education

Salary range: USD 80,900 - 160,710 per year
Education: Bachelor’s Degree

Benefits

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off
Up to 12 paid holidays
Paid parental and family leave
Family building benefits
Back-up care, enhanced family support, and childcare subsidy
Tuition assistance and college coaching
Short- and long-term disability
Voluntary AD&D coverage, voluntary accident coverage, and voluntary life insurance
Voluntary disability insurance and voluntary long-term care insurance
Mobile service and home internet discounts
Pet insurance
Access to commuter and transit programs
Annual bonus or periodic sales incentive or bonus (in regular, non-temporary roles)
Year-end bonus (corporate employees)
Monthly bonuses (certain positions in Customer Care)

Location and travel

Location: Bellevue, WA (onsite)
Travel required: No
DOT regulated position: No
Safety sensitive position: No

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1mo ago

Principal Data Engineer, People Data

Okta Bellevue, WA

Bellevue, WA

1mo ago Closed

$197k - $271k/yr Full time Apache Airflow Big Data Bigdata

This position is no longer accepting applications (closed Sep 11, 2026).

Job Description

Okta’s People Data team is seeking a Principal Data Engineer to architect, build, and maintain scalable enterprise data capabilities for candidate and employee lifecycle information. This role leads complex cross-functional efforts to strengthen data availability, integrity, and organization-wide adoption of data modeling and governance practices.

Responsibilities

Design, build, and continuously evolve high-scale data solutions that establish reference architecture and make data access simpler across the organization.
Create data quality frameworks, including monitoring, anomaly detection, and alerting, with governance, lineage tracking, and change management practices suited for externally reported metrics.
Drive standardization of data modeling patterns, naming conventions, documentation norms, and metric governance standards across the data organization.
Lead cross-functional technical initiatives across data verticals to accelerate delivery and harden data systems.
Operate effectively in ambiguity and make sound technical decisions that balance near-term delivery with long-term infrastructure investment.
Champion Data Contracts by implementing data contracts and schema evolution practices to support reliable use across global product teams.
Mentor and scale by raising the technical bar through guidance for senior engineers, leading cross-functional task forces, and promoting a culture of engineering excellence and data-driven decision making.
Stay current with the data landscape, adopting and advocating for emerging technologies and practices to shape the team’s long-term technical direction.

Requirements

10+ years in a data engineering role, including proven senior or lead-level experience. Federal government compliance and security requirements experience is highly desirable.
Expert-level experience with SQL, ETL/ELT tools such as Airflow and dbt, and MPP databases including Snowflake and Redshift.
Extensive hands-on experience with AWS services including S3, Lambda, EMR, ECR, and EKS.
Strong HR data expertise, including candidate lifecycle, employee records, compensation, and organizational data, along with experience designing data models for recruiting analytics, engagement signals, and workforce planning metrics.
Bonus: familiarity with Workday data structures.
Experience building and maintaining batch and real-time pipelines using technologies such as Spark and Kafka.
Deep experience with modern lakehouse and warehouse architectures (such as Databricks and Snowflake) and modern file formats including Iceberg and Delta.
Demonstrated ability to integrate AI tools to optimize or redesign workflows and deliver measurable impact such as efficiency gains and quality improvements.
Proven history of hands-on collaboration with Data Science, Business, and Product teams.

Technologies

SQL, Airflow, dbt, Snowflake, Redshift
AWS: S3, Lambda, EMR, ECR, EKS
Spark, Kafka
Databricks, Iceberg, Delta

Location and Compensation

Bellevue, WA (hybrid)

Salary: USD 197,000 - 270,600 per year

Okta Experience

Supporting Your Well-Being
Driving Social Impact
Developing Talent and Fostering Connection + Community

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1mo ago

Staff Software Engineer, Data Platform (FedRAMP)

Okta Bellevue, WA

Bellevue, WA

1mo ago Closed

$194k - $267k/yr Full time Backend Developer AWS Big Data

This position is no longer accepting applications (closed Sep 10, 2026).

Job Description

Okta is hiring a Staff Software Engineer to help build and operate a FedRAMP-aligned data platform, focused on streaming infrastructure and foundational services for analytics and ML.

Responsibilities

Design, implement, and take ownership of data-intensive, high-performance, scalable platform components
Partner with engineering teams, architects, and cross-functional partners on project development, design, and implementation
Participate in design reviews and code reviews, and perform analysis and performance tuning
Coach and mentor engineers to support team growth and engineering scale-up
Debug production incidents across services and multiple layers of the stack

Requirements

8+ years of experience in object-oriented languages, preferably Java
Hands-on experience with cloud-based distributed computing technologies, including messaging systems such as Kinesis and Kafka
Hands-on experience with data processing systems such as Flink, Spark, and Beam
Hands-on experience with storage and compute systems such as Snowflake and Hadoop
Hands-on experience with coordinators and schedulers such as those used in Kubernetes, Hadoop, and Mesos
Experience developing and tuning highly scalable distributed systems
Excellent grasp of software engineering principles
Solid understanding of multithreading, garbage collection, and memory management
Reliability engineering experience, including data quality, data observability, and incident management

Technologies

Java, Kinesis, Kafka, Flink, Spark, Beam
Snowflake, Hadoop, Kubernetes, Mesos, ElasticSearch

About the Team

Data Platform team builds foundational data services, systems, and data products for Okta that support user outcomes
Streaming analytics
Interactive end-user reporting
Data and ML platform to scale Okta capabilities
Telemetry for products and data

About the Position

Scale high volume, low latency distributed data-platform services and data products
Build foundational infrastructure to support Okta for years to come
Design, build, and deploy systems powering data analytics and ML
Work across an analytics infrastructure stack using modern technologies including Kinesis, Flink, ElasticSearch, and Snowflake

Nice to Have

Experience maintaining security, encryption, identity management, or authentication infrastructure
Hands-on experience leveraging major public cloud providers to build mission-critical, high volume services
Hands-on experience developing data integration applications for large scale (petabyte scale) environments across batch and online systems
Contributed to distributed systems at high volume or criticality, such as Kafka or Hadoop
Experience developing Kubernetes-based services on the AWS Stack

Federal Environment Requirements

Ability to access federal environments and/or have access to protected federal data
As a condition of employment, documentation establishing U.S. Person status (e.g., U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee per 22 CFR 120.15) must be submitted upon hire

Location: Bellevue, WA (hybrid)
Salary: USD 194,000 - 267,000 per year
Minimum Experience: 8+ years

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1mo ago

Principal Data Engineer, Product Data

Okta Bellevue, WA

Bellevue, WA

1mo ago Closed

$197k - $271k/yr Full time Apache Airflow Big Data Cloud Platform

This position is no longer accepting applications (closed Sep 10, 2026).

Job Description

Okta’s Data and Insights team is seeking a Principal Data Engineer to architect, build, and maintain scalable data platforms that enable product behavioral (telemetry) insights. This role works closely with Product Engineering to strengthen instrumentation, uphold data integrity and governance, and lead cross-functional efforts while mentoring engineers.

Responsibilities

Design, build, and continuously evolve high-scale data solutions that align with the organization’s reference architecture and make data access simpler across teams.
Create data quality frameworks, including monitoring, anomaly detection, and alerting, with governance, lineage tracking, and change management discipline suitable for externally reported metrics.
Drive enterprise adoption of consistent data modeling patterns, naming conventions, documentation standards, and metric governance practices across the data organization.
Lead cross-functional technical initiatives across data verticals to accelerate delivery and improve reliability of data systems.
Make sound technical decisions in ambiguous environments, balancing near-term execution with long-term infrastructure investment.
Champion data contracts by implementing data contracts and schema evolution practices to support dependable data consumption across global product teams.
Mentor and scale engineering capability by raising technical standards, mentoring senior engineers, leading cross-functional task forces, and supporting a data-driven engineering culture.
Stay current with the evolving data landscape, adopting and advocating for emerging technologies and practices that shape the team’s long-term technical direction.

Requirements

10+ years in a data engineering role, including senior or lead capacity. Federal government compliance and security requirements experience is highly desirable.
Deep expertise in product behavioral data engineering, with focus on telemetry data and structured datasets used for product launch analysis, feature usage, retention, and other key product lifecycle metrics.
Proven experience partnering with Product Engineering teams to deliver successful instrumentation for data collection.
Expert-level technical experience with SQL, ETL/ELT tools including Airflow and dbt, and MPP databases such as Snowflake and Redshift.
Extensive hands-on experience with AWS services including S3, Lambda, EMR, ECR, and EKS.
Deep experience designing and working with lakehouse architectures (Databricks) and modern file formats including Iceberg and Delta.