Data Engineer II, AIR DABI
Data Engineer II, AIR DABI
Posted on :
08-09-2025
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1 Vacancy
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Job Description
Do you want to join one of the most exciting teams at the worlds most customer-centric company Then come soar with Amazon Air! AIR DABIs vision is to offer the data infrastructure and data applications/ processes/ practices to enable the AIR business to achieve its goal to leverage its capacity speed quality of service and organic infrastructure to delight Amazon customers worldwide.
We are looking for an experienced innovative Data this role you will be working in a large and complex data warehouse environment. You should be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with Analysts Business Intelligence Engineers Data Scientists SDEs as well as business teams across Amazon AIR this role you will have ownership of end-to-end development of data engineering solutions to complex questions and youll play a critical role in strategic decision-making.
The right candidate will possess excellent technical ability in relational database management systems a database architecture solid business and communication skills be able to work with business owners to develop and define key business questions be able to work with external data vendors to onboard new datasets and be able to collaborate to analyze data.
Key job responsibilities
- Design develop and maintain new and existing data pipelines to drive key business decisions.
- Design implement and support a platform providing secured access to large datasets.
- Recognize and adopt best practices in data integrity test design analysis validation and documentation.
- Tune data pipelines and query performance using profiling tools and SQL.
- Analyze and solve problems at their root stepping back to understand the broader context.
- Learn and understand a broad range of Amazons data resources and know when how and which to use and which not to use.
- Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.
- Continually improve ongoing reporting and analysis processes automating or simplifying self-service support for datasets.
- Design implement and support an analytical data infrastructure providing ad hoc access to large datasets and computing power
- Managing AWS resources
- Interface with other technology teams to extract transform and load data from a wide variety of data sources using SQL and AWS big data technologies
- Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
- Work with external data vendors to onboard data into existing infrastructure
- Collaborate with Analysts Business Intelligence Engineers and Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis prediction clustering and machine learning
- Help continually improve ongoing reporting and analysis processes simplifying self-service support for customers
- Bachelors degree
- 3 years of data engineering experience
- Experience as a data engineer or related specialty (e.g. software engineer business intelligence engineer data scientist) with a track record of manipulating processing and extracting value from large datasets
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Masters degree
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
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 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
We are looking for an experienced innovative Data this role you will be working in a large and complex data warehouse environment. You should be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with Analysts Business Intelligence Engineers Data Scientists SDEs as well as business teams across Amazon AIR this role you will have ownership of end-to-end development of data engineering solutions to complex questions and youll play a critical role in strategic decision-making.
The right candidate will possess excellent technical ability in relational database management systems a database architecture solid business and communication skills be able to work with business owners to develop and define key business questions be able to work with external data vendors to onboard new datasets and be able to collaborate to analyze data.
Key job responsibilities
- Design develop and maintain new and existing data pipelines to drive key business decisions.
- Design implement and support a platform providing secured access to large datasets.
- Recognize and adopt best practices in data integrity test design analysis validation and documentation.
- Tune data pipelines and query performance using profiling tools and SQL.
- Analyze and solve problems at their root stepping back to understand the broader context.
- Learn and understand a broad range of Amazons data resources and know when how and which to use and which not to use.
- Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.
- Continually improve ongoing reporting and analysis processes automating or simplifying self-service support for datasets.
- Design implement and support an analytical data infrastructure providing ad hoc access to large datasets and computing power
- Managing AWS resources
- Interface with other technology teams to extract transform and load data from a wide variety of data sources using SQL and AWS big data technologies
- Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
- Work with external data vendors to onboard data into existing infrastructure
- Collaborate with Analysts Business Intelligence Engineers and Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis prediction clustering and machine learning
- Help continually improve ongoing reporting and analysis processes simplifying self-service support for customers
- Bachelors degree
- 3 years of data engineering experience
- Experience as a data engineer or related specialty (e.g. software engineer business intelligence engineer data scientist) with a track record of manipulating processing and extracting value from large datasets
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Masters degree
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
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 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Full-Time
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