Amazon Development Center U.S., Inc.

Technology

DataEngineerII,ManagedOperationsDataScience(MODS)

$10–179k 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 pipelines, AWS infrastructure. Interact with business and software teams. Understand business requirements”

Industry & Context.

Technology
Problems you'll solve

Analytical mindset; Complex analytical problems

What They're Looking For.

Must Have

3+ years of data engineering experience, Experience with data modeling, Experience with data warehousing, Experience building ETL pipelines, Knowledge of distributed systems, Experience in at least one modern 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.

Interact with business and software teams

Understand business requirements

Understand operational processes

Develop robust data models

Develop robust data architectures

Ensure data consistency

Ensure data accessibility

Design data pipelines

Maintain data pipelines

Design scalable data solutions

Implement scalable data solutions

Design data infrastructure on AWS

Provision data infrastructure on AWS

Maintain data infrastructure on AWS

Support transformation

Create technical documentation

Enhance technical documentation

Maintain technical documentation

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

Use data to tackle challenges

Ensure data artifacts deliver value

Drive innovative solutions

Tell data-driven stories

How You'll Work.

Team & Collaboration

Software engineering teams; Data science teams; Product management teams; Business teams; Cross-functional 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. 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 employees and the neighboring community will also benefit from the associated investments from the Commonwealth including infrastructure updates, public transportation improvements, and new access to Reagan National Airport. By working together on behalf of our customers, we are building the future one innovative product, service, and idea at a time. Are you ready to embrace the challenge? Come build the future with us. This position requires that the candidate selected be a U.S. Citizen. 10012 Key job responsibilities - Collaboration and Product Development: Interact with business and software teams to understand their business requirements and operational processes, to inform system design - Data Modeling and Architecture: Develop robust dat

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