Data Engineer II, AME-Outbound

Amazon is hiring a Data Engineer II, AME-Outbound in Seattle, United States. It pays $132k-$179k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.
The role was posted in the last few days.

AI in this role

The Outbound Communication Services team is the backbone of Amazon’s customer communication, enabling seamless interactions through Email, SMS, and Push notifications. Our core mission is to ensure the reliable and prompt delivery of selected messages to our customers while also capturing real-time feedback from these communications to refine and optimize our strategies.

Driven by a passion for developing scalable data infrastructures capable of handling billions of transactions and vast amounts of data, we are committed to continuously enhancing both our technical capabilities and the customer experience.

As a Data Engineer in our team, you will play a pivotal role in shaping the way Amazon connects with customers, impacting the interactions of not just the global Amazon community but also those closest to you.

In your role, you'll be at the forefront of reinforcing the technological framework that powers Amazon's direct engagement with its customers. Your expertise will drive the creation of resilient and scalable software solutions capable of managing immense data loads and supporting a high volume of transactions. This role offers a distinctive opportunity to make a profound impact on the customer experience, contribute to the architecture of large-scale distributed systems, and flourish within an innovative team committed to excellence in all operational aspects.

Key job responsibilities
- Design, develop, and maintain scalable, fault-tolerant data infrastructure for high-volume outbound communication channels.
- Implement robust data flow solutions that integrate seamlessly with real-time messaging systems, ensuring data integrity and efficient processing.
- Collaborate with software engineers to extract, transform, and load data from diverse sources, optimizing for performance and scalability.
- Develop automation tools to enhance data availability, consistency, and compliance, aligning with Amazon's Best At Amazon (BAA) standards.
- Drive continuous improvement in data infrastructure, exploring innovative technologies and methodologies to solve complex data challenges.
- Work closely with stakeholders to understand data requirements, delivering solutions that enable data-driven decision-making and personalized customer experiences.
- Mentor junior team members, fostering a culture of technical excellence, innovation, and collaboration.

Basic qualifications

- 3+ years of data engineering experience
- 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- 3+ years of in the job offered or a related occupation experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
- Experience with data modeling, warehousing and building ETL pipelines

Preferred qualifications

- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually

How we rate this

Data Engineer II, AME-Outbound at Amazon rates 24 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.