Data Engineer II North America Transportation Services
Data Engineer II North America Transportation Services
Posted on :
02-05-2025
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1 Vacancy
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Job Description
At Amazon we are committed to being the most customercentric company on earth. The North American Transportation Services (NATS) team at Amazon is comprised of highpowered dynamic teams that are shaping network planning and through the development and application of innovative transportation and delivery management concepts.
NATS Transportation Planning team is looking for a customerfocused detailoriented experienced Data Engineer II to help us build an enterprise grade data lake with the latest AWS data services. This role is inherently crossfunctionalthis leader will work closely with business intelligence engineers data scientists software engineers program management design operations finance legal business development customer service and executive teams to support analytical framework with efficient data pipelines. As a Data Engineer you will be responsible for architecture and engineering of data infrastructure across our systems of transportation planning development production and test. You will provide analytical support by managing data store develop and track key performance indicators and help make data driven program decisions. This role will be designing and developing ingestion of data that will provide insights into our business health.
Key job responsibilities
Design implement and maintain data infrastructure including data modeling ETL pipelines and ongoing maintenance.
Partner with product operational and technical teams to build data pipelines from a wide variety of sources using AWS big data technologies (Lake Formation Glue S3 MWAA Lambda etc..
Able to read write and debug data processing and orchestration code written in Python/Scala etc following best coding standards (e.g. version controlled code reviewed etc.
Build a data dictionary catalog and governance plan and manage and audit all of the registered data via mechanisms.
Work with data consumers to provide and correlate the right data for business intelligence and machine learning usecases.
Develop automated solutions to minimize manual processes with focus on efficiency and scalability.
Provide guidance on data stewardship for teams onboarding to the central data systems.
5 years of data engineering experience
Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience with modern SQL data orchestration tools like DBT Mode and Airflow
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)
Excellent at creating and maintaining working relationships across all levels and disciplines receptive to feedback and input from others and quick to apply changes.
Proven experience as a Data Engineer with a track record of building data solutions from the ground up
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.
NATS Transportation Planning team is looking for a customerfocused detailoriented experienced Data Engineer II to help us build an enterprise grade data lake with the latest AWS data services. This role is inherently crossfunctionalthis leader will work closely with business intelligence engineers data scientists software engineers program management design operations finance legal business development customer service and executive teams to support analytical framework with efficient data pipelines. As a Data Engineer you will be responsible for architecture and engineering of data infrastructure across our systems of transportation planning development production and test. You will provide analytical support by managing data store develop and track key performance indicators and help make data driven program decisions. This role will be designing and developing ingestion of data that will provide insights into our business health.
Key job responsibilities
Design implement and maintain data infrastructure including data modeling ETL pipelines and ongoing maintenance.
Partner with product operational and technical teams to build data pipelines from a wide variety of sources using AWS big data technologies (Lake Formation Glue S3 MWAA Lambda etc..
Able to read write and debug data processing and orchestration code written in Python/Scala etc following best coding standards (e.g. version controlled code reviewed etc.
Build a data dictionary catalog and governance plan and manage and audit all of the registered data via mechanisms.
Work with data consumers to provide and correlate the right data for business intelligence and machine learning usecases.
Develop automated solutions to minimize manual processes with focus on efficiency and scalability.
Provide guidance on data stewardship for teams onboarding to the central data systems.
5 years of data engineering experience
Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience with modern SQL data orchestration tools like DBT Mode and Airflow
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)
Excellent at creating and maintaining working relationships across all levels and disciplines receptive to feedback and input from others and quick to apply changes.
Proven experience as a Data Engineer with a track record of building data solutions from the ground up
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
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