Data Engineer II, Amazon Shipping
Data Engineer II, Amazon Shipping
Posted on :
17-05-2025
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1 Vacancy
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Job Description
Amazons 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 largescale distributed systems handling millions of packages being shipped through the Amazon logistics network.
As an experienced Data Engineer you will own expanding and building a new cutting edge data architecture which will fuel the exponentially growing Amazon Shipping business world wide. You will identify gaps in the current architecture and data and help bridge them. You will also help improve the overall data quality in the organization by identifying improvement opportunities in existing data alarming capabilities and anomaly tracking processes in the org. Additionally you will collaborate with stakeholders and crossfunctional teams to understand data needs and ensure effective use of tools and insights. You will also be responsible for mentoring other L4 DEs in the org.
Key job responsibilities
Modern Data Architecture: Design and evolve cloudnative data platforms including SWAs Data Lakehouse architecture integrating Redshift Lake Formation and Glue to enable both batch and near realtime analytics.
Smart Data Integration: Build resilient scalable pipelines that unify fragmented data sources into governed domainaligned datasets. Implement data contracts observability and schema evolution to ensure trust and reusability.
Automated DataOps: Drive automation across the data lifecyclepipelines quality checks lineage tracking and anomaly detectionusing tools like AWS CDK Airflow Deequ and Quicksight APIs.
Insight Acceleration: Partner with science and analytics teams to enable MLready datasets and advanced diagnostics. Build frameworks that accelerate experimentation forecasting and optimization models.
Strategic Data Partnership: Embed with Product Tech Ops and Finance stakeholders to translate business objectives into data products and insights. Influence roadmaps through dataled storytelling.
Tech Leadership & Evangelism: Evaluate emerging AWS and opensource technologies champion best practices and contribute to defining data standards across Amazon Shipping.
Mentorship & Uplift: Uplevel the org by coaching BIEs DEs and PMs on scalable data design performance tuning and solutioning. Foster a culture of experimentation ownership and continuous learning.
3 years of data engineering experience
2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
Knowledge of distributed systems as it pertains to data storage and computing
Experience with data modeling warehousing and building ETL pipelines
Experience working on and delivering end to end projects independently
Experience programming with at least one modern language such as C C# Java Python Golang PowerShell Ruby
Experience with Redshift Oracle NoSQL etc.
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
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 for more information. If the country/region youre applying in isnt 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 $118900/year in our lowest geographic market up to $205600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
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 largescale distributed systems handling millions of packages being shipped through the Amazon logistics network.
As an experienced Data Engineer you will own expanding and building a new cutting edge data architecture which will fuel the exponentially growing Amazon Shipping business world wide. You will identify gaps in the current architecture and data and help bridge them. You will also help improve the overall data quality in the organization by identifying improvement opportunities in existing data alarming capabilities and anomaly tracking processes in the org. Additionally you will collaborate with stakeholders and crossfunctional teams to understand data needs and ensure effective use of tools and insights. You will also be responsible for mentoring other L4 DEs in the org.
Key job responsibilities
Modern Data Architecture: Design and evolve cloudnative data platforms including SWAs Data Lakehouse architecture integrating Redshift Lake Formation and Glue to enable both batch and near realtime analytics.
Smart Data Integration: Build resilient scalable pipelines that unify fragmented data sources into governed domainaligned datasets. Implement data contracts observability and schema evolution to ensure trust and reusability.
Automated DataOps: Drive automation across the data lifecyclepipelines quality checks lineage tracking and anomaly detectionusing tools like AWS CDK Airflow Deequ and Quicksight APIs.
Insight Acceleration: Partner with science and analytics teams to enable MLready datasets and advanced diagnostics. Build frameworks that accelerate experimentation forecasting and optimization models.
Strategic Data Partnership: Embed with Product Tech Ops and Finance stakeholders to translate business objectives into data products and insights. Influence roadmaps through dataled storytelling.
Tech Leadership & Evangelism: Evaluate emerging AWS and opensource technologies champion best practices and contribute to defining data standards across Amazon Shipping.
Mentorship & Uplift: Uplevel the org by coaching BIEs DEs and PMs on scalable data design performance tuning and solutioning. Foster a culture of experimentation ownership and continuous learning.
3 years of data engineering experience
2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
Knowledge of distributed systems as it pertains to data storage and computing
Experience with data modeling warehousing and building ETL pipelines
Experience working on and delivering end to end projects independently
Experience programming with at least one modern language such as C C# Java Python Golang PowerShell Ruby
Experience with Redshift Oracle NoSQL etc.
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
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 for more information. If the country/region youre applying in isnt 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 $118900/year in our lowest geographic market up to $205600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Department / Functional Area
Key Skills
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