Data Engineer II, New Selection Success

Amazon is hiring a Data Engineer II, New Selection Success 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

Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.
Posted in the last few days.

AI in this role

The vision of the Brand Experience and Excellence team is to make Amazon the most attractive place for (a) Customers to buy products from Brands, and (2) Brands to sell their products and deliver a great Customer experience. One of the key pillars of this vision is 'New Selection Success'. New selection is a key driver of Amazon's flywheel and shopper experience and represents a large share of shipped units each year globally. Our mission in this pillar is to help Brands drive discoverability, credibility and conversion on valuable new selection and thereby, deliver great shopping experience for our Customers.

We are seeking a talented and versatile Data Engineer II who combines strong technical expertise with excellent collaboration skills. The ideal candidate should have experience designing scalable data pipelines, implementing ETL processes, and working with big data technologies, along with proficiency in SQL, Python, and AWS cloud solutions. You should be able to translate complex business requirements into efficient technical solutions, communicate effectively with stakeholders, and influence through data-driven insights. This high-visibility role offers significant ownership, Amazon-wide impact, and senior leadership exposure, perfect for someone who can mentor others, drive results, and is passionate about solving complex e-commerce data challenges. Your combination of technical skills, analytical thinking, and strong business acumen will be crucial in delivering scalable solutions that power our worldwide New Selection Success initiatives.

Basic qualifications

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Bachelor's degree or equivalent

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)
- Experience using AI-assisted development tools in academic or professional settings
- Experience developing, deploying and managing AI products at scale

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, New Selection Success at Amazon rates 29 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.