Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA3.7
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Key Highlights

  • Headquartered in South Lake Union, Seattle, WA
  • Over 1.5 million employees worldwide
  • Leading cloud services through Amazon Web Services (AWS)
  • Acquired Whole Foods, Twitch, and Ring

Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...

🎁 Benefits

Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...

🌟 Culture

Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

Amazon

Data Engineer Mid-Level

AmazonSeattle - On-Site

Posted 1 month ago🏛️ On-SiteMid-LevelData Engineer📍 Seattle💰 $118,900 - $118,900 / yearly
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Skills & Technologies

Overview

Amazon is hiring a Data Engineer for the AWS Marketing team to drive analytics and reporting initiatives. You'll work with AWS services to enhance data access and analytical self-service. This position requires experience in data engineering and AWS technologies.

Job Description

Who you are

You have a strong background in data engineering, with experience in building and maintaining data pipelines that support analytics and reporting initiatives. Your expertise in AWS services allows you to leverage cloud technologies effectively, ensuring data accessibility and reliability across teams. You understand the importance of data representation and are skilled in deploying machine learning models to enhance business decision-making. You thrive in collaborative environments, working closely with cross-functional teams to drive better measurement and increase experimentation velocity. You are detail-oriented and have a passion for improving data access and analytical self-service tools.

Desirable

Experience with machine learning frameworks and tools is a plus, as is familiarity with data visualization platforms. You are comfortable working with large datasets and have a knack for optimizing data workflows. A background in marketing analytics or experience in a similar domain would be beneficial, as it helps you understand the specific needs of marketing teams.

What you'll do

As a Data Engineer at Amazon, you will be responsible for designing and implementing data pipelines that support the AWS Marketing team's analytics and reporting needs. You will collaborate with various teams to ensure that data is accurately represented and easily accessible for analysis. Your role will involve deploying and testing machine learning models that drive targeted marketing efforts, ultimately contributing to the growth and revenue of AWS. You will establish standards and best practices for data management and analytics, ensuring that the team operates efficiently and effectively.

You will also work on enhancing self-service tooling for analytics, empowering teams across AWS Marketing to make data-driven decisions. Your contributions will help improve measurement and valuation processes, enabling better strategic decisions based on data insights. You will be involved in driving higher economic value through data initiatives and will play a key role in supporting the overall mission of AWS Marketing.

What we offer

At Amazon, we offer a competitive compensation package that includes equity, sign-on payments, and a full range of medical and financial benefits. You will have the opportunity to work in a dynamic environment where innovation is encouraged, and your contributions will have a direct impact on the success of AWS Marketing. We value diversity and encourage you to apply even if your experience doesn't match every requirement. Join us in driving the growth of AWS and supporting our customers in their journey to the cloud.

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