Data Engineer, OCEANS
Data Engineer, OCEANS
Posted on :
31-05-2025
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1 Vacancy
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Job Description
Do you love data Do you want to learn new technologies Join our OCEANS team and help shape the future of employee compensation at Amazon! Our job is to establish data definitions conduct research and launch products to support the Amazon Leadership Team and Consultants in making pay decisions for employees.
As a Data Engineer on our team youll work with cutting-edge technologies and complex data environments. Youll be responsible for enhancing our existing data architecture to further standardize metrics and definitions developing end-to-end data engineering solutions for complex analytical problems and collaborating with analysts data scientists and software engineers to translate data into actionable insights.
This role requires you to live at the intersection of data software and science. We leverage a comprehensive suite of AWS technologies with key tools including S3 Redshift DynamoDB Lambda APIs Glue MWAA DataZone and SageMaker. You will drive the development process from design to release.
Key job responsibilities
Managing data ingestion from heterogeneous data sources with automated data quality checks.
Creating scalable data models for effective data processing storage retrieval and archiving.
Using scripting for automation and tool development which is scalable reusable and maintainable.
Providing infrastructure for compensation analytics and science use cases.
Using industry best practices in building CI/CD pipelines.
About the team
Join our team at Amazon where data drives our global compensation strategy. As a business intelligence and analytics unit were shaping how Amazon compensates million employees worldwide. Our mission: to leverage advanced analytics in evaluating and scaling our annual pay policy directly influencing the companys growth trajectory. If youre seeking a role with large-scale impact we offer the opportunity to apply your analytical skills at the intersection of big data human resources and business strategy. Your work will revolutionize Amazons compensation landscape ensuring fair competitive and forward-thinking pay practices that support our companys continued success and expansion.
- 1 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
- Experience with one or more scripting language (e.g. Python KornShell)
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.
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 $91200/year in our lowest geographic market up to $185000/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.
As a Data Engineer on our team youll work with cutting-edge technologies and complex data environments. Youll be responsible for enhancing our existing data architecture to further standardize metrics and definitions developing end-to-end data engineering solutions for complex analytical problems and collaborating with analysts data scientists and software engineers to translate data into actionable insights.
This role requires you to live at the intersection of data software and science. We leverage a comprehensive suite of AWS technologies with key tools including S3 Redshift DynamoDB Lambda APIs Glue MWAA DataZone and SageMaker. You will drive the development process from design to release.
Key job responsibilities
Managing data ingestion from heterogeneous data sources with automated data quality checks.
Creating scalable data models for effective data processing storage retrieval and archiving.
Using scripting for automation and tool development which is scalable reusable and maintainable.
Providing infrastructure for compensation analytics and science use cases.
Using industry best practices in building CI/CD pipelines.
About the team
Join our team at Amazon where data drives our global compensation strategy. As a business intelligence and analytics unit were shaping how Amazon compensates million employees worldwide. Our mission: to leverage advanced analytics in evaluating and scaling our annual pay policy directly influencing the companys growth trajectory. If youre seeking a role with large-scale impact we offer the opportunity to apply your analytical skills at the intersection of big data human resources and business strategy. Your work will revolutionize Amazons compensation landscape ensuring fair competitive and forward-thinking pay practices that support our companys continued success and expansion.
- 1 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
- Experience with one or more scripting language (e.g. Python KornShell)
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.
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 $91200/year in our lowest geographic market up to $185000/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
Key Skills
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