Data Engineer III, ITA
Job Description
Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.Key job responsibilitiesData team builds the foundational data infrastructure and analytics tools that power Amazon's hiring decisions. We create secure, scalable solutions that enable teams across ITA to access and analyze recruitment data effectively while maintaining data integrity.Key job responsibilities* Architect and implement scalable, reliable data pipelines and infrastructure, supporting analytics at scale* Design and enforce data modeling standards, lineage, and governance frameworks while ensuring secure, compliant solutions * Lead technical design/code reviews, evaluate emerging technologies, and drive engineering best practices across development lifecycle* Work closely with business owners, developers, BI Engineers and Data Scientists to deliver scalable solutions enabling teams to access and analyze data effectively* Mentor junior engineers, foster technical excellence, and empower team self-service capabilities for handling complex data tasks independently
Locations
- United States, VA, Arlington, Arlington, VA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
180,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 5+ years of data engineering experienceintermediate
- - Experience with data modeling, warehousing and building ETL pipelinesintermediate
- - Experience with SQLintermediate
- - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJSintermediate
- - Experience mentoring team members on best practicesintermediate
- - Experience building modern cloud based data platforms for AI/ML and analytics usecasesintermediate
Required Qualifications
- - 5+ years of data engineering experience (experience, 5 years)
- - Experience with data modeling, warehousing and building ETL pipelines (experience)
- - Experience with SQL (experience)
- - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS (experience)
- - Experience mentoring team members on best practices (experience)
- - Experience building modern cloud based data platforms for AI/ML and analytics usecases (experience)
Preferred Qualifications
- - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR (experience)
- - Experience operating large data warehouses (experience)
- - 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 (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)
Responsibilities
- Data team builds the foundational data infrastructure and analytics tools that power Amazon's hiring decisions. We create secure, scalable solutions that enable teams across ITA to access and analyze recruitment data effectively while maintaining data integrity.
- Key job responsibilities
- * Architect and implement scalable, reliable data pipelines and infrastructure, supporting analytics at scale
- * Design and enforce data modeling standards, lineage, and governance frameworks while ensuring secure, compliant solutions
- * Lead technical design/code reviews, evaluate emerging technologies, and drive engineering best practices across development lifecycle
- * Work closely with business owners, developers, BI Engineers and Data Scientists to deliver scalable solutions enabling teams to access and analyze data effectively
- * Mentor junior engineers, foster technical excellence, and empower team self-service capabilities for handling complex data tasks independently
Documents
Tags & Categories
Data Engineer III, ITA
Job Description
Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.Key job responsibilitiesData team builds the foundational data infrastructure and analytics tools that power Amazon's hiring decisions. We create secure, scalable solutions that enable teams across ITA to access and analyze recruitment data effectively while maintaining data integrity.Key job responsibilities* Architect and implement scalable, reliable data pipelines and infrastructure, supporting analytics at scale* Design and enforce data modeling standards, lineage, and governance frameworks while ensuring secure, compliant solutions * Lead technical design/code reviews, evaluate emerging technologies, and drive engineering best practices across development lifecycle* Work closely with business owners, developers, BI Engineers and Data Scientists to deliver scalable solutions enabling teams to access and analyze data effectively* Mentor junior engineers, foster technical excellence, and empower team self-service capabilities for handling complex data tasks independently
Locations
- United States, VA, Arlington, Arlington, VA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
180,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 5+ years of data engineering experienceintermediate
- - Experience with data modeling, warehousing and building ETL pipelinesintermediate
- - Experience with SQLintermediate
- - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJSintermediate
- - Experience mentoring team members on best practicesintermediate
- - Experience building modern cloud based data platforms for AI/ML and analytics usecasesintermediate
Required Qualifications
- - 5+ years of data engineering experience (experience, 5 years)
- - Experience with data modeling, warehousing and building ETL pipelines (experience)
- - Experience with SQL (experience)
- - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS (experience)
- - Experience mentoring team members on best practices (experience)
- - Experience building modern cloud based data platforms for AI/ML and analytics usecases (experience)
Preferred Qualifications
- - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR (experience)
- - Experience operating large data warehouses (experience)
- - 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 (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)
Responsibilities
- Data team builds the foundational data infrastructure and analytics tools that power Amazon's hiring decisions. We create secure, scalable solutions that enable teams across ITA to access and analyze recruitment data effectively while maintaining data integrity.
- Key job responsibilities
- * Architect and implement scalable, reliable data pipelines and infrastructure, supporting analytics at scale
- * Design and enforce data modeling standards, lineage, and governance frameworks while ensuring secure, compliant solutions
- * Lead technical design/code reviews, evaluate emerging technologies, and drive engineering best practices across development lifecycle
- * Work closely with business owners, developers, BI Engineers and Data Scientists to deliver scalable solutions enabling teams to access and analyze data effectively
- * Mentor junior engineers, foster technical excellence, and empower team self-service capabilities for handling complex data tasks independently