Data Engineer II, New Selection Success
Seattle, WAJob$132–179K/yrSeen todaySeen in employer's feed today
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Job overview
Amazon’s New Selection Success team works to help brands improve discoverability, credibility, and conversion for new products. The Data Engineer II will design scalable data pipelines, implement ETL processes, and use big data technologies to address e-commerce data challenges. The role involves translating business requirements into technical solutions, collaborating with stakeholders, and using data-driven insights to deliver solutions for worldwide initiatives.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Description
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
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3+ years of data engineering experience
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Experience with data modeling, warehousing and building ETL pipelines
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Bachelor's degree or equivalent
Preferred Qualifications
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Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
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Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
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Experience using AI-assisted development tools in academic or professional settings
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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 this job compares
Set against the 6,272 open Data Engineer jobs on Olive Jobs, counted November 5, 2026.
- Pay
- This posting$132–179K/yr
- Washington median$132–200K/yr209 salary ranges
- US median$122–208K/yr4,899 salary ranges
This range's midpoint, $155K, is 8% below the Washington median midpoint ($169K) — in the middle half of Data Engineer salary ranges in Washington.
- Openings
- Olive Jobs lists 240 open Data Engineer jobs in Washington and 6,272 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 3 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,489 postings).
- Education
- 2,402 of the 6,272 open Data Engineer jobs (38%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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