Data Engineer, People Experience and Technology Central Science
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Job Location:
Seattle, OR - USA
Yearly Salary:
$ 139100 - 240500
Posted on:
2 days ago
Vacancies:
1 Vacancy
Department:
Job Summary
As a Senior Data Engineer on the PXT (People Experience and Technology) Central Science team at Amazon you will be part of the Data team that builds the foundational data infrastructure and analytics tools for PXTCS. We create secure scalable solutions that enable teams across PXTCS to access and analyze data effectively while maintaining data this role you will design build and maintain scalable data pipelines and infrastructure that power our people analytics capabilities. You will collaborate with data scientists business intelligence engineers and HR business partners to transform complex HR data into actionable insights that drive Amazons people strategy. Your technical expertise will help us make data-driven decisions that enhance the employee experience across Amazons global workforce
Key job responsibilities
- Design develop and maintain efficient ETL processes and data pipelines to collect process and integrate data from multiple HR systems and sources
- Build and optimize data models that support advanced analytics reporting and machine learning applications
- Implement data quality controls and monitoring systems to ensure accuracy and reliability of people data
- Partner with data scientists to productionize machine learning models that solve complex workforce challenges
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions
- Mentor junior engineers and contribute to establishing best practices for data engineering
- Continuously improve data architecture to enhance performance scalability and security
About the team
The People eXperience and Technology Central Science (PXTCS) team uses economics behavioral science statistics and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives wellbeing and the value of work to Amazonians. PXTCS is an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.
- 5 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience mentoring team members on best practices
- Experience working with Data & AI related technologies including but not limited to AI/ML GenAI Analytics Database and/or Storage
- Bachelors degree or above in computer science engineering mathematics or equivalent or PhD
- Experience with SQL and Python scripting
- Experience with AWS services including S3 Redshift EMR and RDS
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience operating large data warehouses
- 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
- Masters degree in Computer Science or related technical field
- Knowledge of HR data structures and people analytics use cases
- Experience with workflow orchestration tools (Airflow Step Functions)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 $139100/year in our lowest geographic market up to $240500/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.
Key job responsibilities
- Design develop and maintain efficient ETL processes and data pipelines to collect process and integrate data from multiple HR systems and sources
- Build and optimize data models that support advanced analytics reporting and machine learning applications
- Implement data quality controls and monitoring systems to ensure accuracy and reliability of people data
- Partner with data scientists to productionize machine learning models that solve complex workforce challenges
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions
- Mentor junior engineers and contribute to establishing best practices for data engineering
- Continuously improve data architecture to enhance performance scalability and security
About the team
The People eXperience and Technology Central Science (PXTCS) team uses economics behavioral science statistics and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives wellbeing and the value of work to Amazonians. PXTCS is an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.
- 5 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience mentoring team members on best practices
- Experience working with Data & AI related technologies including but not limited to AI/ML GenAI Analytics Database and/or Storage
- Bachelors degree or above in computer science engineering mathematics or equivalent or PhD
- Experience with SQL and Python scripting
- Experience with AWS services including S3 Redshift EMR and RDS
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience operating large data warehouses
- 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
- Masters degree in Computer Science or related technical field
- Knowledge of HR data structures and people analytics use cases
- Experience with workflow orchestration tools (Airflow Step Functions)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 $139100/year in our lowest geographic market up to $240500/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.
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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