Data Engineer Amazon Ads
Data Engineer Amazon Ads
Posted on :
26-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 118900 - 205600
Vacancy
1 Vacancy
Posted on :
26-04-2025
Job Description
Amazon Advertising is one of Amazons fastest growing and most profitable businesses. The Advertiser Experience (AX) organization owns the experience of the advertiser from the moment they decide to engage with our platform through the full lifecycle of selfservice advertising management.
We are looking for an experienced data engineer with a track record of delivering high quality big data pipelines using AWS distributed architectures (e.g. Glue S3 Spark EMR Airflow) and is a great team player who is skilled in stakeholder management. You will be working closely with crossfunctional teams (science and SDE) to build robust data pipelines optimize data processing systems and deploy machine learning models that power our advertiser facing solutions. This role offers a unique opportunity to contribute to the intersection of data engineering and machine learning in a dynamic and collaborative environment. Your contributions will directly lead to enhanced site wide performance growth in ad products innovative new experiences faster for engineering teams and increased success of Amazons fastest growing business.
Strong candidates for this role will have strong problemsolving skills with a keen attention to detail in designing and optimizing data processing pipelines ability to collaborate effectively with crossfunctional teams excellent communication skills with the ability to articulate complex technical concepts to both technical and nontechnical stakeholders. If you enjoy working and growing high performance teams being part of a rapidly growing business and inventing creative solutions to complex problems this role is for you!
Key job responsibilities
* Design and implement scalable data pipelines for collecting processing and storing large volumes of data
* Collaborate with data scientists software engineers and domain experts to evaluate gather and process data for model training
* Work closely with scientists to integrate machine learning models into production pipelines
* Develop and implement data quality and validation processes to ensure accuracy and reliability
* Optimize and finetune models for performance scalability and efficiency.
* Work closely with SDE teams to design data solution for API use
* Bar raising the operational excellence of data engineer practice
5 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
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
Proven experience to contribute to the development of operational processes for efficient data model deployment and maintenance
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
Experience providing technical leadership and mentoring other engineers for best practices on data engineering
Experience in popular machine learning frameworks such as TensorFlow PyTorch or scikitlearn
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 are looking for an experienced data engineer with a track record of delivering high quality big data pipelines using AWS distributed architectures (e.g. Glue S3 Spark EMR Airflow) and is a great team player who is skilled in stakeholder management. You will be working closely with crossfunctional teams (science and SDE) to build robust data pipelines optimize data processing systems and deploy machine learning models that power our advertiser facing solutions. This role offers a unique opportunity to contribute to the intersection of data engineering and machine learning in a dynamic and collaborative environment. Your contributions will directly lead to enhanced site wide performance growth in ad products innovative new experiences faster for engineering teams and increased success of Amazons fastest growing business.
Strong candidates for this role will have strong problemsolving skills with a keen attention to detail in designing and optimizing data processing pipelines ability to collaborate effectively with crossfunctional teams excellent communication skills with the ability to articulate complex technical concepts to both technical and nontechnical stakeholders. If you enjoy working and growing high performance teams being part of a rapidly growing business and inventing creative solutions to complex problems this role is for you!
Key job responsibilities
* Design and implement scalable data pipelines for collecting processing and storing large volumes of data
* Collaborate with data scientists software engineers and domain experts to evaluate gather and process data for model training
* Work closely with scientists to integrate machine learning models into production pipelines
* Develop and implement data quality and validation processes to ensure accuracy and reliability
* Optimize and finetune models for performance scalability and efficiency.
* Work closely with SDE teams to design data solution for API use
* Bar raising the operational excellence of data engineer practice
5 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
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
Proven experience to contribute to the development of operational processes for efficient data model deployment and maintenance
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
Experience providing technical leadership and mentoring other engineers for best practices on data engineering
Experience in popular machine learning frameworks such as TensorFlow PyTorch or scikitlearn
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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