Amazon Development Center U.S., Inc.

Technology

DataEngineerII,ManagedOperationsDataScience(MODS)

$119–206k Arlington, Virginia, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Engineer II, Managed Operations Data Science (MODS) at Amazon Development Center U.S., Inc.. Skills: Data engineering, Data modeling, ETL pipelines, Distributed systems. Guide teams in building data artifacts. Refine systems”

Industry & Context.

Technology
Problems you'll solve

Analytical mindset; Complex analytical problems

Eligibility Requirements

U. S. Citizen

What They're Looking For.

Must Have

3+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Knowledge of distributed systems, Experience in scripting or programming language, U. S. Citizen

Nice to Have

5+ years of data engineering experience, Experience building/operating highly available, distributed systems, Experience with non-relational databases, Experience with AWS technologies

What You'll Do.

Guide teams in building data artifacts

Create scalable data models

Suggest efficient architecture

Suggest development approaches

Suggest data management standards

Use data to identify opportunities

Ensure data artifacts deliver value

Drive innovative solutions

Tell data-driven stories

Build credibility with insights

Build credibility with recommendations

Serve as trusted partner

Interact with business teams

Interact with software teams

Understand business requirements

Understand operational processes

Develop robust data models

Develop robust architectures

Design data pipelines

Maintain data pipelines

Design scalable data solutions

Implement scalable data solutions

Create technical documentation

Enhance technical documentation

Maintain technical documentation

How You'll Work.

Team & Collaboration

Software engineering teams; Data science teams; Product management teams; Business teams; Software teams

Communication Scope

Data-driven stories; Clear insights; Structured recommendations

Full Job Description

Amazon Web Services (AWS) is the world leader in providing a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world! The AWS Managed Operations (MO) organization was founded in April 2023, with the objective to reduce operational load and toil through long-term engineering projects. MO is building the best-in-class engineering and operations team that will own the day-to-day operations for AWS Regions; improving the availability, reliability, latency, performance and efficiency to operate AWS regions. As a Data Engineer, your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft AWS' strategic initiatives. In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across AWS to optimize growth, strategy, and user experience across AWS. Data Engineering: Guide teams in building optimal data artifacts (datasets, visualizations) to address key questions. Refine systems, design solutions, and create scalable data models. Ensure data security and quality while suggesting efficient architecture, development approaches, and data management standards for complex analytical problems. Product Leadership: Use data to identify opportunities, and tackle challenges. Ensure data artifacts/components deliver value by supporting AWS strategy and driving innovative solutions. Communication and Influence: Tell data-driven stories that convince and influence partners. Build credibility with clear insights, structured recommendations, and serve as a trusted partner within the organization. This role will sit in our new headquarters in Northern Virginia, where Amazon will invest $2.5 billion dollars, occupy 4 million square feet of energy efficient office space, and create at least 25,000 new full-time jobs. Our emplo

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