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 ...
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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 ...
Data Engineer • Mid-Level
Amazon • Culver City - On-Site
Overview
Amazon is hiring a Data Engineer to enhance data operations within Amazon Studios. You'll work on transforming operational data into structured insights using SQL and various data management tools. This role requires a strong background in data engineering and collaboration with business teams.
Job Description
Who you are
You have a solid background in data engineering, with experience in transforming complex, manual workflows into well-defined datasets. Your expertise in SQL allows you to design and implement logic-based transformations that standardize and connect data across various systems. You thrive in ambiguous environments and enjoy collaborating with business customers to understand their pain points and deliver operational insights. You are detail-oriented, ensuring data validation and lineage tracking are part of your workflow. Your ability to document data flows and transformations ensures transparency and reuse across teams. You are passionate about automation and seek to reduce manual reconciliation and reporting processes.
Desirable
Experience with data visualization tools and familiarity with BI engineering principles would be a plus. Knowledge of data governance and best practices in data management can enhance your contributions to the team.
What you'll do
In this role, you will partner directly with Studio teams to model workflows and normalize metadata, ensuring that data is structured and meaningful. You will build mechanisms that improve visibility and trust in the data, enabling better decision-making across Production, Post, Marketing, and Finance. Your responsibilities will include translating complex workflows into repeatable processes, designing SQL transformations, and collaborating with BI engineers to define source-of-truth tables. You will also document data flows and schema definitions to maintain clarity and facilitate reuse. Supporting automation initiatives will be a key part of your role, as you work to streamline operations and enhance efficiency within the team.
What we offer
At Amazon, we provide a comprehensive benefits package that includes health insurance, flexible spending accounts, and a 401(k) matching program. You will have access to mental health support and various wellness programs. Our culture encourages collaboration and innovation, allowing you to make a significant impact on our operations. We value diversity and inclusion, and we encourage you to apply even if your experience doesn't match every requirement. Join us in shaping the future of data operations at Amazon Studios.
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