Data Engineer Amazon Robotics AR
Data Engineer Amazon Robotics AR
Posted on :
27-04-2025
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
27-04-2025
Job Description
Working at Amazon Robotics
Are you inspired by invention Is problem solving through teamwork in your DNA Do you like the idea of seeing how your work impacts the bigger picture Answer yes to any of these and youll fit right in here at Amazon Robotics. We are a smart collaborative team of doers that work passionately to apply leadingedge advances in robotics and software to solve realworld challenges that will transform our customers experiences in ways we cant even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding fulfilling and fun.
Key job responsibilities
Implement solutions for data storage reporting science and analytics.
Incorporate big data solutions to enhance machine learning analytics and reporting capabilities.
Monitor and troubleshoot operational or data issues in the data pipelines.
Setup internal dashboard tools for data visualization
Work across teams to gather requirements for data logging storing transforming and reporting and build scalable solutions.
A day in the life
At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
Benefits Summary:
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
Learn more about our benefits here:
About the team
The Science Tooling And Research (STAR) team builds and runs simulation experiments and delivers analyses that are central to understanding the performance of the entire AR system. This includes operational and software scaling characteristics bottlenecks and robustness to chaos monkey stresses we inform critical engineering and business decisions about Amazons approach to robotic system. We are seeking a Data Engineer to automate the pipeline and tools we support for generating data insights. As a Data Engineer you will be responsible for the design and development of the data metrics and reporting platforms for our team. You will implement new and automated data solutions including big data capabilities that support our scientists analysts and engineers with largescale data for training machine learning models enabling metrics to evaluate their worthiness while satisfying scalability reliability accuracy performance and budget goals and driving automation and operational efficiencies.
2 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)
Knowledge of batch and streaming data architectures like Kafka Kinesis Flink Storm Beam
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.
Are you inspired by invention Is problem solving through teamwork in your DNA Do you like the idea of seeing how your work impacts the bigger picture Answer yes to any of these and youll fit right in here at Amazon Robotics. We are a smart collaborative team of doers that work passionately to apply leadingedge advances in robotics and software to solve realworld challenges that will transform our customers experiences in ways we cant even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding fulfilling and fun.
Key job responsibilities
Implement solutions for data storage reporting science and analytics.
Incorporate big data solutions to enhance machine learning analytics and reporting capabilities.
Monitor and troubleshoot operational or data issues in the data pipelines.
Setup internal dashboard tools for data visualization
Work across teams to gather requirements for data logging storing transforming and reporting and build scalable solutions.
A day in the life
At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
Benefits Summary:
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
Learn more about our benefits here:
About the team
The Science Tooling And Research (STAR) team builds and runs simulation experiments and delivers analyses that are central to understanding the performance of the entire AR system. This includes operational and software scaling characteristics bottlenecks and robustness to chaos monkey stresses we inform critical engineering and business decisions about Amazons approach to robotic system. We are seeking a Data Engineer to automate the pipeline and tools we support for generating data insights. As a Data Engineer you will be responsible for the design and development of the data metrics and reporting platforms for our team. You will implement new and automated data solutions including big data capabilities that support our scientists analysts and engineers with largescale data for training machine learning models enabling metrics to evaluate their worthiness while satisfying scalability reliability accuracy performance and budget goals and driving automation and operational efficiencies.
2 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)
Knowledge of batch and streaming data architectures like Kafka Kinesis Flink Storm Beam
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.
Employment Type
Full-Time
Department / Functional Area
Key Skills
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