Data Engineer, DSP Analytics
Data Engineer, DSP Analytics
Posted on :
26-05-2025
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1 Vacancy
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Job Description
Do you enjoy diving deep into data building data models and developing real-time and batch data pipelines which generate actionable insights Are you looking for an opportunity to define end to end analytics roadmap work with cross functional teams and leverage modern technologies and cloud solutions to develop analytics products. DSP Analytics team has an exciting opportunity for a Data Engineer to improve Amazons Delivery Service Partner (DSP) program through impactful data solutions.
The goal of Amazons DSP organization is to exceed the expectations of our customers by ensuring that their orders no matter how large or small are delivered as quickly accurately and cost effectively as possible. To meet this goal Amazon is continually striving to innovate and provide best in class delivery experience through the introduction of pioneering new products and services in the last mile delivery space.
This person will play a key role in providing the end-to-end engineering solutions to support key business initiatives related to safety of drivers. If you are passionate about technologies strongly biased to go deep to find insights and build scalable real time analytical platform relentless in ensuring quality and reliability and feel comfortable communicating with different levels of leadership you are the candidate we are looking for!
You will develop new engineering patterns that leverage new cloud architectures and will extend or migrate existing data pipelines to these architectures as needed. You will be responsible for designing and implementing complex data pipelines in Amazons platform and other BI solutions to support the rapidly growing and dynamic business demand for data and use it to deliver data-driven insights that will have an immediate impact on day-to-day decision-making at Amazon.
Key job responsibilities
Lead and design complex data architectures ensuring scalability security and alignment with business objectives
Drive implementation of large-scale data pipelines and ETL processes using AWS technologies
Identify and resolve system-wide data challenges including performance bottlenecks and architectural deficiencies
Establish data engineering best practices including governance security standards and operational excellence
Ensure data solutions are auditable accessible and maintainable across the organization
Collaborate with cross-functional teams to deliver innovative data solutions
About the team
Attention Amazonians exploring new roles within our company! Weve streamlined the process to ensure fair consideration for all internal candidates. If youre in the US or Canada start by using the Request Informational button at the top of the job listing to set up a meeting with the hiring manager. For those in other locations or if the Request Informational button is unavailable please reach out directly to the hiring manager.
After making your Informational Request allow seven days for a response from the hiring manager. You can check your status on Amazon Jobs or the internal transfer workflow portal if available in your region. If your request is still under consideration after seven days feel free to contact the hiring manager directly.
For more detailed information about the process from pre-application to pre-offer stages visit the Internal Candidate Resource on MyHR. This comprehensive guide provides FAQs and valuable guidance to support your internal transfer journey. Remember this process is designed to make your transition as smooth as possible. If you have any questions along the way dont hesitate to reach out to your HR partner. Were here to support your growth and development within Amazon.
We are the core Amazon DSP Business Intelligence team with the vision to enable data insights and science driven decision-making. We have exceptionally talented and fun loving team members. In our team you will have the opportunity to dive deep into complex business and data problems drive large scale technical solutions and raise the bar for operational excellence. We love to share ideas and learning with each other. We are a relatively new team and do not carry legacy operational burden. We believe in promoting and using ideas to disrupt the status quo.
- 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 non-relational databases / data stores (object storage document or key-value stores graph databases column-family 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 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.
The goal of Amazons DSP organization is to exceed the expectations of our customers by ensuring that their orders no matter how large or small are delivered as quickly accurately and cost effectively as possible. To meet this goal Amazon is continually striving to innovate and provide best in class delivery experience through the introduction of pioneering new products and services in the last mile delivery space.
This person will play a key role in providing the end-to-end engineering solutions to support key business initiatives related to safety of drivers. If you are passionate about technologies strongly biased to go deep to find insights and build scalable real time analytical platform relentless in ensuring quality and reliability and feel comfortable communicating with different levels of leadership you are the candidate we are looking for!
You will develop new engineering patterns that leverage new cloud architectures and will extend or migrate existing data pipelines to these architectures as needed. You will be responsible for designing and implementing complex data pipelines in Amazons platform and other BI solutions to support the rapidly growing and dynamic business demand for data and use it to deliver data-driven insights that will have an immediate impact on day-to-day decision-making at Amazon.
Key job responsibilities
Lead and design complex data architectures ensuring scalability security and alignment with business objectives
Drive implementation of large-scale data pipelines and ETL processes using AWS technologies
Identify and resolve system-wide data challenges including performance bottlenecks and architectural deficiencies
Establish data engineering best practices including governance security standards and operational excellence
Ensure data solutions are auditable accessible and maintainable across the organization
Collaborate with cross-functional teams to deliver innovative data solutions
About the team
Attention Amazonians exploring new roles within our company! Weve streamlined the process to ensure fair consideration for all internal candidates. If youre in the US or Canada start by using the Request Informational button at the top of the job listing to set up a meeting with the hiring manager. For those in other locations or if the Request Informational button is unavailable please reach out directly to the hiring manager.
After making your Informational Request allow seven days for a response from the hiring manager. You can check your status on Amazon Jobs or the internal transfer workflow portal if available in your region. If your request is still under consideration after seven days feel free to contact the hiring manager directly.
For more detailed information about the process from pre-application to pre-offer stages visit the Internal Candidate Resource on MyHR. This comprehensive guide provides FAQs and valuable guidance to support your internal transfer journey. Remember this process is designed to make your transition as smooth as possible. If you have any questions along the way dont hesitate to reach out to your HR partner. Were here to support your growth and development within Amazon.
We are the core Amazon DSP Business Intelligence team with the vision to enable data insights and science driven decision-making. We have exceptionally talented and fun loving team members. In our team you will have the opportunity to dive deep into complex business and data problems drive large scale technical solutions and raise the bar for operational excellence. We love to share ideas and learning with each other. We are a relatively new team and do not carry legacy operational burden. We believe in promoting and using ideas to disrupt the status quo.
- 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 non-relational databases / data stores (object storage document or key-value stores graph databases column-family 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 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.
Employment Type
Full-Time
Department / Functional Area
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