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Job Details
Posted date: May 30, 2025
There have been 113 jobs posted with the title of Data Engineer all time at Amazon.There have been 113 Data Engineer jobs posted in the last month.
Location: Bellevue, WA
Estimated salary: $138,100
Range: $91,200 - $185,000
Description
Amazon’s global fulfillment network enables any merchant to ship items that are ordered on Amazon to any place on earth. There is a complex network of ways in which items move between vendor locations, Amazon warehouses, and customer locations as well as several intermediate locations through which packages travel before reaching the customer. With a scale of millions of packages, each with different attributes and delivery requirements, what results is a highly dense graph of nodes.We have built a highly respected BI and Data Engineering team which is focused on solving complex problems in worldwide transportation using workflows, optimization algorithms, and machine learning systems. These are large-scale distributed systems handling millions of packages being shipped through the Amazon logistics network.
As a Data Engineer, you will develop data pipelines, datasets, manage data infrastructures, build automated BI services to support strategic planning within Amazon Shipping.
Key job responsibilities
Own the design, development, and maintenance of last mile data sets
Manipulate/mine data from database tables (MySQL, SQL server, Oracle, Data Warehouse, FC log files)
Conduct deep dive investigations into issues related to incorrect and missing data
Identify and adopt best practices in developing data pipelines and tables: data integrity, test design, build, validation, and documentation.
Continually improve ongoing reporting and data processes in AMZL
Work with in-house scientists, global supply chain, transportation and logistics teams, and software teams to identify new features and projects.
Identify ways to automate analysis through smarter software systems.
This is an individual contributor role that will partner with internal stakeholders across multiple teams, gathering requirements and delivering complete solutions
Qualifications
- 1+ years of data engineering experience- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics
- Knowledge of distributed systems as it pertains to data storage and computing
- 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)
Extended Qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91,200/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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