Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA3.7
B2CB2BMarketplaceCloud ComputingeCommerce

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

AmazonSan Francisco - On-Site

Posted 1 month ago🏛️ On-SiteMid-LevelData Engineer📍 San Francisco💰 $116,500 - $185,000 / yearly
Apply Now →

Skills & Technologies

Overview

Amazon is hiring a Data Engineer to build and maintain data pipelines for Twitch's Monetization organization. You'll work with AWS, SQL, and Python to ensure data integrity and efficiency. This position requires experience in data architecture and pipeline development.

Job Description

Who you are

You have a strong background in data engineering with experience in building and maintaining data pipelines. You understand the importance of data quality and have a knack for automating data processing workflows to enhance efficiency. Your expertise in SQL and Python allows you to manipulate and analyze large datasets effectively.

You thrive in collaborative environments, working closely with data scientists and engineers to create robust data architectures. You are skilled at translating business requirements into data-driven solutions, ensuring that stakeholders can easily access and understand the data they need. Your attention to detail and problem-solving skills enable you to implement data quality checks and monitor processes effectively.

Desirable

Experience with AWS services and tools like Airflow is a plus, as is familiarity with ETL processes. You are comfortable working in a fast-paced environment and are eager to learn new technologies and methodologies to improve data handling and processing.

What you'll do

As a Data Engineer at Amazon, you will be responsible for developing and managing scalable data pipelines that extract, transform, and load data from various sources. You will collaborate with stakeholders to understand their business needs and translate them into effective data solutions. Your role will involve automating data processing and reporting workflows to improve overall efficiency and data integrity.

You will work closely with a team of data engineers, contributing to the design and implementation of robust data architectures that support Twitch's business objectives. Monitoring data quality and implementing checks will be a key part of your responsibilities, ensuring that the data remains accurate and reliable for analysis.

In addition to technical tasks, you will engage in cross-functional collaboration, working with various teams to ensure that data solutions align with business goals. You will also have opportunities to mentor junior engineers and share your knowledge with the team, fostering a culture of continuous learning and improvement.

What we offer

Amazon provides a competitive salary range of $116,500.00 - $185,000.00 annually, along with comprehensive benefits including health insurance, retirement plans, and paid time off. You will be part of a dynamic team at Twitch, where innovation and collaboration are at the forefront of our mission to empower live communities. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

Interested in this role?

Apply now or save it for later. Get alerts for similar jobs at Amazon.

Similar Jobs You Might Like

Based on your interests and this role

Amazon

Data Engineer

Amazon📍 San Francisco

Amazon is hiring a Data Engineer to transform Twitch's largest data sets into usable offerings for the company. You'll work with data scientists and engineers to develop scalable data pipelines and architectures. This role requires experience with AWS, SQL, and Python.

Mid-Level
2 months ago
Whatnot

Data Engineer

Whatnot📍 San Francisco - Hybrid

Whatnot is seeking a Data Engineer to build and scale data systems that drive data-driven decisions across the company. You'll collaborate with various stakeholders to design reliable data architectures and create foundational data products. This role requires expertise in data architecture and pipeline development.

🏢 Hybrid
1 month ago
Whatnot

Data Engineer

Whatnot📍 San Francisco - Hybrid

Whatnot is hiring a Data Engineer to build and scale systems that power data-driven decisions across the company. You'll collaborate with various stakeholders to design reliable data architectures and create foundational data products. This role requires strong problem-solving skills and experience in data engineering.

🏢 Hybrid
4 months ago
Brex

Data Engineer

Brex📍 San Francisco

Brex is hiring a Data Engineer to transform raw data into actionable insights across the organization. You'll collaborate with Data Scientists and Software Engineers to create efficient data models and analytics frameworks. This role requires experience in data engineering and a strong understanding of data infrastructure.

Mid-Level
1 month ago
Apple

Data Engineer

Apple📍 San Francisco - On-Site

Apple is hiring a Data Engineer to develop services that support mission-critical information security capabilities. You'll work with Apache Spark and collaborate with engineering teams to solve complex data challenges. This position requires a strong background in large-scale software development.

🏛️ On-Site
3w ago