Amazon Development Center U.S., Inc.
Technology
DataEngineerII,ManagedOperationsDataScience(MODS)
Neural analysis suggests this role is
optimal for Mid candidates.
“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.
Analytical mindset; Complex analytical problems
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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