Data Engineer, Global Logistics Product Analytics Team
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Before you apply
Salary$101k – $160k
LocationBellevue, Washington, USA
Typefull-time
SeniorityEntry
Experience1+ yrs
DepartmentBusiness Intelligence
EquityIncluded
Company size10,000+ people
PostedOct 28, 2026 · 1w ago
Verified live21h ago
At a glanceSummarised by Seekless from the posting.
1+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Experience with one or more scripting language (e.g., Python, KornShell)
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
Skills
SQL
PL/SQL
DDL
MDX
HiveQL
SparkSQL
Scala
Python
KornShell
Hadoop
Hive
Spark
EMR
Redshift
Kinesis
S3
Lambda
AWS Bedrock
Informatica
ODI
SSIS
BODI
Datastage
Benefits
Health insurance
401(k)
Stock options
Paid time off
Parental leave
About the role
Join Amazon’s Global Logistics Product Analytics team and help shape the future of data-driven decision-making at scale. We are building a centralized data lake across our Global Logistics imports organization and developing the foundation for Gen-AI powered initiatives that empower stakeholders with real-time insights. As a Data Engineer on our team, you will design and deliver production-ready data systems that directly influence how Amazon moves products around the world.
Responsibilities
Key job responsibilities
•
Design, build, and maintain scalable ETL pipelines and CI/CD infrastructure to support business and operational performance reporting
•
Manage and administer data platforms built on AWS services including Redshift, Kinesis, S3, and Lambda
•
Develop and improve data architecture, data quality monitoring, and data availability across the organization
•
Build and experiment with Gen-AI tools such as AWS Bedrock to support intelligent data solutions
•
Partner with Business Intelligence Engineers, Product Managers, and other data roles to enable data-driven program decisions
•
Develop scalable frameworks for data instrumentation in collaboration with partner tech teams
•
Continuously improve self-service reporting and analysis processes for internal customers
A day in the life
Your day will be dynamic and impactful, involving collaborative work with cross-functional teams to develop sophisticated data architectures. You’ll design and implement robust ETL pipelines, experiment with generative AI tools, and continuously refine our data ecosystem to support critical business decisions.
About the team
The Global Logistics Product Analytics team is dedicated to transforming logistics operations through innovative, centralized data solutions. We value technical creativity, collaborative problem-solving, and the ability to turn complex data into clear insights. Our team is building the data foundation that powers intelligent, data-driven strategies across Amazon’s global supply chain.
Basic qualifications
•
1+ years of data engineering experience
•
Experience with data modeling, warehousing and building ETL pipelines
•
Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
•
Experience with one or more scripting language (e.g., Python, KornShell)
Preferred qualifications
•
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
•
Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
Legal
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Benefits
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 101,300.00 - 160,000.00 USD annually
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