Bellevue, WA

Developer Jobs in Bellevue, WA

9 jobs found

Include remote jobs

7d ago

Data Engineer, NAST-CX Tech

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

7d ago

Full time Amazon Emr Amazon Web Services Analytics

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Job Description

Data Engineer on the Amazon Transportation Services (ATS) team focused on building scalable data infrastructure and ETL pipelines using AWS to support reporting, analytics, and ML initiatives.

Responsibilities

Translate business requirements into data platform architecture for BI engineers, data scientists, and product managers.
Collaborate with other technology and data engineering teams to extract, transform, and load data from diverse sources using AWS data technologies.
Explore and adopt the latest AWS technologies to enable new capabilities and boost efficiency.
Maintain and enhance existing data pipelines; establish scalable, efficient, automated data ingestion processes.
Partner with BIE leaders, business owners, and developers to identify new data sources and deliver BI and Analytics solutions.
Develop end-to-end automation of data pipelines so datasets are readily consumable by visualization tools, ML platforms, and daily/weekly/monthly reporting processes.
Strengthen processes to maintain data integrity, availability, and auditability.

Requirements

5+ years of data engineering experience.
Experience with data modeling, warehousing, and building ETL pipelines.
Experience with SQL.
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
Experience mentoring team members on best practices.

Technologies

SQL
Python
Java
Scala
NodeJS
Hadoop
Hive
Spark
EMR
AWS data technologies

Benefits

Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan

A Day in the Life

Develop new data engineering patterns that leverage modern cloud architectures and extend or migrate existing pipelines accordingly.
Design and implement complex ETL pipelines in the big data platform and BI solutions to support growing data demand, delivering data as a service that informs day-to-day decisions.

About the Team

Amazon offers a comprehensive benefits package for regular, full-time employees, including medical, dental, and vision coverage, maternity and parental leave, Paid Time Off, and a 401(k) plan. Benefits can vary by location, hours, length of employment, and job status.

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13d ago

Data Engineer

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

13d ago

$132k - $206k/yr Full time Python Amazon Emr Amazon Web Services

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Job Description

Join Amazon's PXT Central Science team in Bellevue, WA, and help build scalable data pipelines, efficient feature extraction, and production-ready analytics that drive employee sentiment insights and business outcomes. This onsite opportunity offers a competitive salary range of USD 132,100 to 205,600 per year, together with comprehensive benefits, sign-on payments, and restricted stock units. You will work in a multidisciplinary environment that blends economics, science, engineering, and UX to improve the value and experience of work across Amazon.

Responsibilities

Design and maintain scalable data pipelines using native AWS services (Glue, EMR, Lambda); implement monitoring and error handling for data workflows; optimize for performance, reliability, and cost efficiency
Productionize science models by developing APIs and data serving layers; build both batch and real-time inference pipelines for downstream consumption
Create scalable feature extraction and processing frameworks for diverse data types; implement robust data quality checks and validation; design flexible schemas that adapt to evolving requirements
Collaborate with economics, data science, and software engineering teams to translate analytical requirements into production-ready solutions; participate in technical design reviews and architecture discussions
Maintain layered data systems used by economists and scientists; develop automated reporting solutions; work across multiple interconnected AWS accounts with security best practices

Requirements

Strong foundation in professional software engineering practices covering the full software development lifecycle, including coding standards, architectures, code reviews, source control, continuous deployments, testing, and operational excellence
3+ years of data engineering experience
Experience with at least one modern programming language such as Python, Java, Scala, or NodeJS
Experience with data modeling, warehousing, and building ETL pipelines
Hands-on experience with AWS technologies like Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions
Experience with non-relational databases or data stores (object storage, document or key-value stores, graph databases, or column-family stores)
Bachelor's degree or foreign equivalent in computer science, engineering, mathematics, or an equivalent field

Technologies

Python, Java, Scala, NodeJS
AWS Glue, AWS EMR, AWS Lambda
Amazon Redshift, Amazon S3, Amazon Kinesis, Amazon Firehose
IAM, Hadoop, Hive, Spark

Benefits

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

About the Team

The Central Science Team within Amazon’s People Experience and Technology organization (PXTCS) applies economics, behavioral science, statistics, machine learning, and Generative AI to identify mechanisms and process improvements that enhance Amazon and the work lives of Amazonians. This interdisciplinary group combines science, engineering, and UX to deliver solutions that measurably improve outcomes for employees and the business.

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13d ago

Data Engineer, Product Analytics (University Grad)

Meta Bellevue, WA

Bellevue, WA

13d ago

$99k - $139k/yr Full time Analytics Data Analysis Data Analytics

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Job Description

Meta is seeking a Data Engineer in Product Analytics at the university graduate level, onsite in Bellevue, WA. The role focuses on building scalable data solutions, models, and visualizations to answer product questions and drive growth across Meta’s apps. You will collaborate with software engineers, data scientists, and product managers to translate data into actionable insights. The annual compensation for this position ranges from USD 99,008 to 139,000.

Responsibilities

Plan and implement data warehouse strategies for a product area or a group of products to address clearly defined problems
Determine data requirements for business problems and establish the necessary logging to ensure data availability, coordinating with data infrastructure to triage and resolve issues
Work with engineers, product managers, and data scientists to understand data needs and present key insights in accessible formats
Develop domain data expertise and enforce data controls to maintain privacy, security, compliance, data quality, and operability for assigned areas
Create and deploy new data models and visualizations in production using standard development toolkits
Independently design and launch new data extraction, transformation, and loading processes in production, mentoring others on efficient querying
Maintain and optimize existing production processes with limited supervision
Define and monitor Service Level Agreements for datasets within ownership

Requirements

Proficiency in SQL
Programming ability in Python
Knowledge of database systems
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Technologies

SQL
Python

Benefits

Bonus
Equity
Benefits

Preferred Qualifications

Curious, self-driven, analytical, and excited to work with data
Experience thriving in a fast-paced work environment
Proven ability to collaborate with individuals and organizations across teams
Demonstrated capacity to integrate AI tools to optimize workflows and drive measurable impact such as efficiency gains and quality improvements
Experience implementing responsible, ethical AI practices including risk assessment, bias mitigation, and quality and accuracy reviews
Ongoing AI skill development, including prompt engineering and agent orchestration, with a commitment to staying current on emerging AI technologies

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14d ago

Project - Data Engineer

Deloitte Bellevue, WA

Bellevue, WA

14d ago

$57k - $96k/yr Full time Analytics Azure Data Factory Big Data

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Job Description

Deloitte’s Bellevue, Washington-based project delivery team is looking for a Data Engineer to design and operate data pipelines on AWS and Snowflake, delivering analytics-ready datasets as part of the Project Delivery Model. This on-site role sits at the crossroads of software engineering and data operations, collaborating with analysts, product owners, and source-system teams to translate requirements into reliable data products for client engagements. The position offers a salary range of USD 57,300 to 95,500 per year and is based on-site in Bellevue.

Responsibilities

Design and extend cloud-based data pipelines on AWS using Python to ingest, transform, and route data to Snowflake and downstream analytics teams.
Create and manage Snowflake objects such as schemas, tables, and views, implementing efficient SQL transformations to produce curated datasets ready for analytics.
Automate workflows and scheduling with tools like Airflow/MWAA, Step Functions, and Glue, establishing dependencies, retries, and logging.
Implement data quality validations, basic observability, and alerting, and assist with incident triage and remediation.
Enhance pipeline and query performance through efficient Python practices, S3 partitioning and file formats (Parquet/Delta), and tuned Snowflake usage.
Follow CI/CD and Infrastructure-as-Code standards using Git workflows and Terraform/CloudFormation to promote code across environments.
Collaborate with analysts, product owners, and source-system teams to clarify requirements, validate outputs, and participate in sprint ceremonies and estimations.
Contribute to code reviews, unit tests, and peer debugging while adhering to team engineering standards.
Maintain regular communication with Engagement Managers and project stakeholders across functional and technical teams, escalating issues when needed.
Lead and participate in client engagement workstreams focused on process improvement, optimization, and transformation, implementing best-practice workflows and addressing quality deficits to drive operational outcomes.

Requirements

At least 1 year of experience building and enhancing data pipelines and curated datasets for analytics and downstream consumers.
1+ year of hands-on experience with SQL and Python, including Snowflake and/or PySpark for transformations and scalable processing.
1+ year of cloud data engineering experience on AWS (preferred) or Azure/GCP, with orchestration/scheduling using Airflow/MWAA, Step Functions, Glue, or ADF/Fabric Data Factory.
Understanding of ELT patterns and lakehouse/warehouse concepts; familiarity with S3 file formats and partitioning (Parquet/Delta).
Working knowledge of DevOps practices (Git-based workflows, CI/CD) and exposure to Infrastructure-as-Code (Terraform/CloudFormation).
Knowledge of data quality, basic observability, and metadata/governance fundamentals.
Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or a related IT discipline, or equivalent experience.
Limited immigration sponsorship may be available.
Ability to travel approximately 10% on average, depending on client engagements.

Technologies

AWS
Python
Snowflake
SQL
PySpark
Airflow
MWAA
Step Functions
Glue
Terraform
CloudFormation
Amazon S3
Parquet
Delta Lake
Azure Data Factory (ADF)
Fabric Data Factory
Git

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18d ago

Data Engineer, Decision Intelligence Technology

Amazon Web Services, Inc. Bellevue, WA

Bellevue, WA

18d ago

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

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Job Description

On the AWS Kumo team, this Data Engineer role centers on shaping data architecture, quality, and availability to empower advanced analytics and improve AWS Support outcomes. You will work closely with data scientists, BI engineers, and business partners to turn rich data into actionable insights and scalable capabilities.

Details

Location: Bellevue, WA (onsite)

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

Experience: 3+ years

Responsibilities

Design and enhance the data architecture, elevate data quality, and ensure reliable data availability through ongoing monitoring.
Collaborate with Data Scientists to deploy advanced analytics leveraging our data assets for statistical analysis, predictive modeling, clustering, and machine learning.
Partner with business analysts across teams to formulate and test hypotheses aimed at improving the AWS Support business.
Improve reporting and analysis workflows to enable self-service insights for customers.
Keep abreast of new big data technologies and run pilots to design scalable data architectures that grow with expanding customer experience data on AWS.

Requirements

3+ years of data engineering experience
Experience with data modeling, warehousing, and building ETL pipelines

Technologies

Redshift
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 and option for Supplemental life plans
Employee Assistance Program (EAP)
Mental Health Support
Flexible Spending Accounts
401(k) matching
Paid time off
Parental leave
Adoption and Surrogacy Reimbursement coverage

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18d ago

Data Engineer II

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

18d ago

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

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Job Description

As a Data Engineer II with Amazon Manufacturing Services, you will shape the data landscape that powers shop floor insights from Bellevue, onsite. You’ll design and run data pipelines, maintain both the data warehouse and data lake, and build dashboards and ML workflows that illuminate operational performance. Collaboration with senior SDEs on architecture and integration patterns will be a core part of owning a portion of the data domain.

Compensation and Location

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

Responsibilities

Design and manage data pipelines using AWS Glue (PySpark), Kinesis, S3, and EventBridge to ingest DynamoDB streams and other enterprise data into the AMS data lake
Model and sustain the Redshift warehouse and the S3/Athena data lake that power analytics across AMS services
Develop ingestion and modeling layers for enterprise sources such as SAP S/4HANA, JobBoss, Siemens Teamcenter, and Dot Compliance
Create QuickSight dashboards for shop floor operators, planners, and AMS leadership, covering operational metrics and executive KPIs
Build and deploy ML models and pipelines for manufacturing use cases including demand forecasting, machine health prediction, and scheduling optimization
Own data quality, lineage, and documentation across the AMS analytics stack
Collaborate with senior SDEs on architecture, service event schemas, and integration patterns while maintaining significant ownership over your data domain

Requirements

At least three years of data engineering experience
A minimum of one year developing and operating large-scale BI data structures using ETL/ELT processes
At least one year of data modeling experience for BI data structures
At least one year of SQL experience in BI data structures
Experience with data modeling, data warehousing, and building ETL pipelines
Experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles/permissions
Proficiency in at least one modern scripting or programming language such as Python, Java, Scala, or NodeJS

Technologies

AWS Glue
PySpark
Kinesis
S3
EventBridge
DynamoDB
Redshift
Athena
SAP S/4HANA
JobBoss
Siemens Teamcenter
Dot Compliance
QuickSight
React
Python
Java
Scala
NodeJS
EMR
FireHose
Lambda
IAM

Benefits

Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan

A Day in the Life

Your day begins with a standup alongside SDEs, fellow data engineers, and manufacturing stakeholders. You might resume work on a React component that displays real-time resource status for shop floor planners, then pivot to a backend task such as designing a DynamoDB schema for part versioning. A code review from a senior engineer working on an enterprise integration bridge arrives, and you review how AMS connects to external manufacturing platforms.

Some weeks skew toward frontend work—building interactive visualizations or responsive layouts for shop floor devices. Others favor backend work—implementing event-sourced entity patterns or integrating with third-party APIs. The mix shifts with each sprint and aligns with your strengths.

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18d ago

Data Engineer, WW Ops Finance S&A

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

18d ago

$132k - $179k/yr Full time Python Amazon Emr AWS

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Job Description

Data Engineer role in Amazon's Worldwide Ops Finance Standardization and Automation to build scalable data infrastructure, ETL pipelines, and analytics platforms for Operations Finance customers.

Responsibilities

Design, implement, and maintain complex data solutions and ETL pipelines leveraging Python, Spark, SQL, and AWS services (S3, Glue, Redshift, MWAA, EMR, Lambda).
Architect scalable data systems to support customer reporting and internal Finance analytics infrastructure.
Collaborate with technology teams to extract, transform, and load data from diverse sources, ensuring data quality and balancing design tradeoffs.
Partner with business users, developers, and BI engineers to deliver on data architecture initiatives and next generation financial solutions.
Contribute to code reviews, design discussions, and sprint planning; improve reporting processes and automate self service support.
Identify and implement process improvements to drive innovation, scale existing solutions, and create new ones aligned with stakeholder needs.
Troubleshoot operational issues with detailed root-cause analyses to maintain high availability and reliability.

Requirements

Minimum 3 years of data engineering experience.
Experience in data modeling, data warehousing, and building ETL pipelines.
Bachelor's degree.
Proficiency in at least one modern programming language such as Python, Java, Scala, or NodeJS.
Knowledge of distributed systems as they relate to data storage and computing.

Technologies

Python
Spark
SQL
MWAA
EMR
S3
Glue
Redshift
Lambda
Airflow
AWS CodeDeploy
AWS CodePipeline
AWS Cloud Development Kit (CDK)
AWS CloudFormation
IAM
CloudWatch
Java
Scala
NodeJS
Kinesis
FireHose

Benefits

Comprehensive health coverage including medical, dental, vision, prescriptions, Basic Life and AD&D, with an option for supplemental life, EAP, mental health support, Medical Advice Line, Flexible Spending Accounts, and Adoption and Surrogacy reimbursement.
401(k) matching.
Paid time off.
Parental leave.

About the Team

The Operations Finance data ecosystem supports global data management solutions and scalable capabilities for 10+ data producer teams and 2,500 finance customers. The role will collaborate with BIE and DE teams across the organization to identify critical customer pain points and design, implement, and drive the data journey. As AI capabilities evolve, the role will explore mechanisms to integrate AI driven workflows for builders and customers.

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 or data stores (object storage, document or key-value stores, graph databases, column-family databases).
Experience building large-scale, high-throughput, 24x7 data systems.

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1mo ago

Senior Software Engineer

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

1mo ago Closed

$168k - $227k/yr Full time Backend Developer Senior API

1mo ago

Software Engineer II, SCOT-Automated Inventory Mgmt

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

1mo ago Closed

$144k - $194k/yr Full time Backend Developer Artificial Intelligence Automation

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