About Amazon
The everything store and cloud computing leader
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 ...
Skills & Technologies
Overview
Amazon is hiring a Mid-Level Data Engineer for the Digital Acceleration team to develop foundational analytical datasets and data pipelines. You'll work with AWS services and internal tools to enhance data solutions. This role requires strong data engineering skills and experience with ETL processes.
Job Description
Who you are
You have a strong background in data engineering with expertise in ETL processes, data modeling, and database architecture — you've successfully designed and implemented data pipelines that support analytics and business intelligence initiatives. Your technical skills include working with AWS services such as Redshift, Kinesis, and EMR, allowing you to build scalable data solutions that meet the needs of digital businesses.
You possess excellent communication skills, enabling you to collaborate effectively with cross-functional teams including software developers, business intelligence engineers, and product managers — you understand the importance of translating complex data insights into actionable strategies that drive product decisions. Your analytical mindset helps you identify opportunities for improving data quality, availability, and compliance, ensuring that the data infrastructure supports business objectives.
What you'll do
In this role, you will develop data products and infrastructure that leverage AWS services and internal tools to create efficient data pipelines — your work will directly influence product decisions across Amazon's digital businesses. You will partner with various stakeholders to enhance existing solutions and build new ones that improve scale and efficiency, ensuring that data is accessible and reliable for analytics.
You will be responsible for driving operational excellence within the data engineering team, focusing on delivering high-quality data solutions that meet the evolving needs of the organization. Your contributions will help enable digital clients to innovate with data, making faster and more informed product and customer decisions.
What we offer
At Amazon, you will be part of a dynamic team that is at the forefront of the digital media revolution — we encourage you to apply even if your experience doesn't match every requirement. You will have the opportunity to work on impactful projects that shape the future of our digital businesses, with access to cutting-edge technologies and a collaborative work environment. We value diversity and are committed to creating an inclusive workplace where everyone can thrive.
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