Amazon.com Services LLC

Technology

DataEngineerIII,ITA

$139–241k Arlington, Virginia, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Data Engineer III, ITA at Amazon.com Services LLC. Skills: Data pipelines, Data infrastructure, Analytics tools, Cloud platforms. Architect scalable data pipelines. Implement scalable data pipelines”

What You'll Achieve.

Deliver unprecedented scale; Deliver sophistication; Deliver accuracy; Connect people to jobs; Hire hundreds of thousands of workers

Industry & Context.

Technology
Problems you'll solve

Data integrity; Scalable solutions

What They're Looking For.

Must Have

5+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with SQL, Experience in at least one modern scripting or programming language, Experience mentoring team members on best practices, Experience building modern cloud based data platforms for AI/ML and analytics usecases

Nice to Have

Experience with big data technologies, Experience operating large data warehouses, Knowledge of professional software engineering & best practices for full software development life cycle

What You'll Do.

Architect scalable data pipelines

Implement scalable data pipelines

Architect reliable data pipelines

Implement reliable data pipelines

Support analytics at scale

Design data modeling standards

Enforce data modeling standards

Design lineage frameworks

Enforce lineage frameworks

Design governance frameworks

Enforce governance frameworks

Ensure secure solutions

Ensure compliant solutions

Lead technical design reviews

Evaluate emerging technologies

Drive engineering best practices

Work closely with business owners

Work closely with developers

Work closely with BI Engineers

Work closely with Data Scientists

Deliver scalable solutions

Enable teams to access data

Enable teams to analyze data

Mentor junior engineers

Foster technical excellence

Empower team self-service capabilities

How You'll Work.

Team & Collaboration

Business owners; Developers; BI Engineers; Data Scientists

Full 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 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

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