Bellevue, WA

Data Jobs in Bellevue, WA

8 jobs found

Include remote jobs

4d ago

Data Engineer II, AAE

Amazon Development Center U.S., Inc. Bellevue, WA

Bellevue, WA

4d ago

$132k - $179k/yr Full time Analytics Apache Airflow Artificial Intelligence

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Job Description

Based in Bellevue, WA onsite, this Data Engineer II role focuses on building end-to-end data platforms for AWS AI services and delivering executive insights through automated analytics and revenue reporting.

Responsibilities

Architect and implement complete data platforms for new AWS AI services, establishing schemas, data models, ETL/ELT pipelines, and analytics infrastructure where none exists today
Develop and maintain production ETL/ELT pipelines with AWS Glue, Airflow, Spark, and Python to ingest data from operational, commercial, and telemetry sources into unified data models
Create agentic data workflows featuring automated reporting pipelines that leverage AI/ML to generate business insights, weekly business review summaries, and anomaly detection with minimal manual intervention
Build event-driven data architectures using CDK, Lambda, SNS/SQS, and S3 event notifications to support real-time data ingestion and processing
Develop executive dashboards and self-serve analytics using QuickSight for VP/GM-level leadership across multiple service lines
Ensure revenue data accuracy by implementing and validating revenue attribution models, discount calculations, and financial data pipelines that feed CFO-mandated reporting
Design data models that support both operational analytics (feature adoption, customer health, churn signals) and financial reporting (revenue, billing, forecasting)
Collaborate with Product Management, Finance, Service Engineering, GTM, and Data Science teams to translate business questions into scalable data solutions
Optimize pipeline performance by reducing runtimes, eliminating redundant processing, and improving SLA compliance across production workloads
Mentor engineers, contribute to team standards, and foster a culture of automation, code quality, and operational excellence

Requirements

5+ years of data engineering experience
3+ years of developing and operating large-scale BI data structures for analytics using ETL/ELT processes
3+ years of developing and operating large-scale BI data structures for analytics using data modeling
Experience with data modeling, data warehousing, and building ETL pipelines

Technologies

AWS Glue
Redshift
Athena
QuickSight
Bedrock
SageMaker
CDK
Lambda
SNS
SQS
S3
Airflow
Spark
Python
Kendra
Kiro

Benefits

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
Sign-on payments
Restricted stock units (RSUs)

A day in the life

Design data models for newly launched AWS AI services and deploy ETL pipelines to onboard telemetry and revenue data
Validate data accuracy across financial reporting systems
Architect CDK-based event-driven pipelines and collaborate with Product Managers to define launch metrics
Resolve data discrepancies surfaced by Finance and optimize production queries feeding VP-level weekly business reviews

About the team

The AI Services Data Engineering team builds the data infrastructure behind AWS Armored AI products including Bedrock, AgentCore, QuickSight, Q Business, Kendra, Kiro, and Transform. Our data powers metrics and reporting that inform executive visibility into Agentic AI revenue, adoption, and growth, including automated weekly business reviews with agent-generated summaries and revenue attribution models for multi-billion dollar pricing programs and launch telemetry.

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23d ago

Azure BI Data Analyst

Tata Consultancy Services Bellevue, WA

Bellevue, WA

23d ago

$68k - $101k/yr Full time Python Analyst Analytics

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Job Description

Tata Consultancy Services is seeking an Azure BI Data Analyst to join our Bellevue, WA onsite team. In this role, you will analyze data across multiple systems and translate it into dashboards and analytical insights using Azure-based tools. The position offers a salary range of USD 68,000 to 101,000 per year and a comprehensive benefits package designed to support you and your family.

Benefits

Discretionary Annual Incentive
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
Family Support: Maternal & Parental Leaves
Insurance Options: Auto & Home Insurance, Identity Theft Protection
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement
Time Off: Vacation, Time Off, Sick Leave & Holidays
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing

Responsibilities

Examine customer, inventory, and partner data to derive actionable insights for strategic decision making
Spot trends, risks, and opportunities across multiple applications and customer lifecycle data
Consolidate data from diverse internal and external sources
Create dashboards and reports using Power BI to present insights to leaders and stakeholders
Establish and maintain KPI frameworks, metric definitions, and performance-tracking models
Conduct trend, cohort, and scenario analyses to support forecasting and planning efforts
Translate business questions into clear analytical outputs and recommendations
Support demand planning insights through structured data analysis
Collaborate with data engineers to ensure data accuracy, quality, and usability
Present findings with clear storytelling, visualizations, and executive-ready summaries

Requirements

Microsoft Azure
PL/SQL
Azure Databricks
Fabric
Microsoft Power BI
Microsoft Power Platform
Cosmos
PySpark
Python
Microsoft Foundry

Technologies

Microsoft Azure
PL/SQL
Azure Databricks
Fabric
Microsoft Power BI
Microsoft Power Platform
Cosmos
PySpark
Python
Microsoft Foundry

Location

Bellevue, WA

Job Function

Technology

Role

Functional Analyst

Job ID

411805

Desired Skills

Azure | Data Analytics

Salary Range

USD 68,000 to 101,000 per year

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24d ago

Data Engineer II, Network Design Planning & Engineering

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

24d ago

$132k - $179k/yr Full time Analytics AWS Aws Quicksight

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Job Description

This Data Engineer II role on the Network Design Planning & Engineering team focuses on architecting scalable data pipelines and infrastructure to support network optimization and decision-making across Amazon's US shipping network. The position is onsite in Bellevue, WA, with a salary range of USD 132,100 - 178,800 per year. The role emphasizes building real-time data solutions and governance frameworks to enable faster deliveries, lower costs, and a more sustainable transportation network.

Responsibilities

Create and deploy data pipelines for the various Network design programs.
Build foundational data infrastructure for network design models to enable rapid and automated runs, with end-to-end automated data flows.
Assess business requirements for design scenario analysis, define data architecture approaches, and deliver a user-friendly platform enabling NDPE program managers to perform what-if analyses.
Define data engineering processes that utilize AWS services to improve accessibility, redundancy, data integrity, cost efficiency, and storage needs.
Create high-quality solutions to accelerate product and model development that address business needs in a scalable format, while anticipating future requirements.
Collaborate with Research/Applied Scientists, Data Engineers, BIEs, Data Scientists and Product/Program Managers to understand business and technical requirements and drive decisions that streamline programs.
Lead the technical design of the data infrastructure with strong coding skills (preferably Python), including code deployment and maintenance.

Requirements

Minimum three years of data engineering experience.
At least one year of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes.
At least one year of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies.
At least one year of developing and operating large-scale data structures for business intelligence analytics using data modeling.
At least one year of developing and operating large-scale data structures for business intelligence analytics using SQL.
At least one year of developing and operating large-scale data structures for business intelligence analytics using Oracle.
Experience with data modeling, warehousing, and building ETL pipelines.

Technologies

Python
AWS services
Kinesis
Kafka
QuickSight
Tableau
Oracle
SQL

Benefits

Health insurance including medical, dental, vision, and prescription coverage
401(k) matching
Paid time off
Parental leave
Adoption and surrogacy reimbursement coverage
Flexible Spending Accounts
Employee Assistance Program
Mental health support
Medical advice line
Basic life and AD&D insurance
Supplemental life plans

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25d ago

Data Engineer

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

25d ago

$101k - $160k/yr Full time Ai Workflows Analytics Artificial Intelligence

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Job Description

Data Engineer role with Amazon.com Services LLC in Bellevue, WA (onsite); salary range USD 101,300 - 160,000 per year.

Responsibilities

Design and implement robust ETL/ELT pipelines using AWS big data technologies to support the Amazon Air data warehouse.
Create scalable data integration solutions that translate complex business requirements into actionable insights.
Develop and maintain high‑performance data pipelines that underpin critical business intelligence capabilities.
Proactively identify and resolve data infrastructure challenges to improve reliability and uptime.
Collaborate with cross‑functional teams to enable data driven decision making across the organization.
Contribute to the development and maintenance of AIR's GenAI infrastructure and data foundations.
Architect data architectures that support generative AI applications and LLM workflows.
Leverage GenAI tools such as Amazon Q and coding assistants to accelerate development and testing.

Requirements

2+ years of data engineering experience.
Experience with data modeling, warehousing and building ETL pipelines.
Experience with one or more query languages: SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala.
Experience with one or more scripting languages: Python, KornShell.
Familiarity with leveraging GenAI/LLM tools to improve development productivity.

Technologies

SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala, Python, KornShell
Hadoop, Apache Spark, Informatica, ODI, SSIS, BODI, Datastage
Amazon Redshift, Amazon S3, AWS Glue, AWS EMR, AWS Kinesis, AWS FireHose, AWS Lambda, IAM
Amazon Q, GenAI tools

Benefits

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

Preferred Qualifications

Experience as a data engineer or related specialty with a track record of manipulating, processing, and extracting value from large datasets.
Experience with big data processing technology (Hadoop or Apache Spark), data warehouse architecture, infrastructure components, ETL, and reporting/analytic tools.
Knowledge of basic data schema design, including normalization and the relational versus dimensional models.
Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
Experience with ETL tools such as Informatica, ODI, SSIS, BODI, Datastage, etc.

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26d ago

Data Engineer II

Amazon Development Center U.S., Inc. Bellevue, WA

Bellevue, WA

26d ago

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

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Job Description

The Data Engineer II role centers on building and maintaining data warehouse and data lake infrastructure and BI applications using the AWS big data stack. The position encompasses developing and managing ETLs, creating unified data models for analytics, delivering dashboards for executive insight, enabling self-serve analytics across internal users, and mentoring fellow engineers.

Location and Compensation

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

Responsibilities

Design, implement, and support data warehouse and data lake infrastructure using the AWS big data stack, including Python, Redshift, QuickSight, Glue/Lake Formation, EMR/Spark/Scala, and Athena.
Develop and manage ETL/ELT pipelines to source data from diverse commercial, sales, and operational systems, establishing a unified analytics data model.
Utilize business intelligence tools such as QuickSight to create dashboards consumed by senior leadership.
Enable self-serve analytics for technical and non-technical internal customers and provide ad hoc reporting support as needed.
Develop a deep understanding of extensive data sources to determine when and which data to use to solve specific business problems.
Collaborate with Product Managers, Finance, Service Engineering Teams, and Sales Teams to support new analytics requirements on a day-to-day basis.
Manage multiple requests concurrently with prioritization as needed.
Partner with cross-functional teams to deliver outcomes and drive results.
Mentor other engineers, positively influence team culture, and contribute to team growth.

Requirements

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

Technologies

Python
Redshift
QuickSight
Glue
Lake Formation
EMR
Spark
Scala
Athena
S3
Kinesis
Firehose
Lambda
IAM

Benefits

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

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26d ago

Data Engineer, AMZL Orbit Data Engineering

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

26d ago

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

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Job Description

Onsite in Bellevue, WA, Amazon.com Services LLC seeks a Data Engineer for the AMZL Orbit Data Engineering team, with a salary range of USD 132,100 to 178,800 per year.

Responsibilities

Architect and deploy real-time analytics platforms using big data tools and AWS services such as Hadoop, Spark, EMR, SNS, SQS, Lambda, Kinesis Firehose, and DynamoDB Streams.
Develop data models, design ETL pipelines, and enable business intelligence workflows; collaborate with stakeholders to identify strategic opportunities where data infrastructure upgrades deliver substantial business impact.
Operate as a proactive contributor in a fast-paced, global team, comfortable with ambiguity, and able to think holistically while delivering precise, reliable results.

Requirements

Minimum of 3 years of data engineering experience.
Experience in data modeling, data warehousing concepts, and building end-to-end ETL pipelines.

Technologies

Hadoop
Spark
EMR
SNS
SQS
Lambda
Kinesis Firehose
DynamoDB Streams
Redshift
S3
AWS Glue
IAM roles and permissions

Benefits

Sign-on rewards and restricted stock units (RSUs).
Health coverage including medical, dental, vision, and prescription benefits.
Basic Life and AD&D insurance with optional supplemental life plans available.
Employee Assistance Program plus mental health support and a medical advice line.
Flexible Spending Accounts (FSA).
Adoption and surrogacy reimbursement programs.
401(k) plan with company matching contributions.
Paid time off and parental leave policies.

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26d ago

Data Engineer II

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

26d ago

$132k - $179k/yr Full time Analytics Artificial Intelligence AWS

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Job Description

Data Engineer II to build and scale the data infrastructure for Amazon's North American Surface Transportation Linehaul network, designing data pipelines, analytical platforms, and AI powered tools used by operations leaders to monitor performance and drive decisions.

Location

Salary

USD 132,100 - 178,800 per yearly

Responsibilities

Design and maintain scalable data pipelines that ingest and transform operational metrics from sources like Andes, Datanet, and Redshift using SparkSQL, Cradle, and AWS services (Glue, Lambda, S3, Step Functions).
Build and extend AI powered analytical applications using AWS Bedrock, DynamoDB, and Python that generate automated performance summaries and insights.
Own data modeling for new metric onboarding, drive migration of legacy SQL workloads to modern platforms, manage infrastructure-as-code with AWS CDK across gamma and production environments, and implement monitoring, alerting, and validation frameworks to ensure pipeline reliability.
Collaborate with operations leaders and data scientists to translate business needs into data solutions that scale.

Requirements

Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
3+ years of data engineering experience
Minimum experience: 1 year
1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
Experience with data modeling, warehousing and building ETL pipelines

Technologies

Andes
Datanet
Redshift
SparkSQL
Cradle
AWS Glue
AWS Lambda
Amazon S3
AWS Step Functions
AWS Bedrock
DynamoDB
Python
AWS CDK
SQL
EMR
Kinesis
Firehose
IAM (roles and permissions)

Benefits

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
Sign-on payments
Restricted stock units (RSUs)

About the Team

NAST CX Tech sits within Amazon Transportation Services and builds the data and analytics platforms that power operational decision-making for North American Surface Transportation. Our flagship product, Cortex Scribe, is an AI-powered platform that automatically generates performance summaries, deep-dive analyses, and weekly flash reports used by operations leaders across the network. We operate at the intersection of data engineering, applied AI, and operational analytics building tools that t

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1mo ago

Data Analyst, RCX

Amazon.com LLC - A03 Bellevue, WA

Bellevue, WA

1mo ago

$28 - $43/hr Full time Analyst Analytics Business Analytics

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