Big Data Engineer
Company: Amazon
Location: Seattle
Posted on: April 4, 2026
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Job Description:
Impact Ever wondered how Amazon offers the Earth's biggest
selection and still manages to offer lower prices every day to our
customers? Our retail business teams work with a massive array of
vendors and business financial performance metrics to expand
selection and drive costs lower. Given the rapid growth of our
business, this requires our category leaders, financial analysts,
site merchandisers and vendor managers to quickly analyze vendors,
categories and brands, diving deep into data showing business
efficiency down to the unit sale level. The technology that enables
this has huge visibility and impact and is critical to Amazon's
continued profitability and growth. Innovation We're working on the
future. If you are seeking an environment where you can drive
innovation. If you want to apply state-of-the-art software
technologies to solve real world problems. If you want the
satisfaction of providing visible benefit to end-users in an
iterative fast paced environment, this is your opportunity. The
responsibilities of this role will be key in paving the future of
Amazon Retail and transforming how we do business. Opportunity You
will be part of a team of creative, top-notch software developers
to work hard, have fun, and make history. Software engineers at
Amazon are more than just order takers; they see a problem and
leverage innovative technology to address it. You will be working
with very large data sets, well beyond the scalability limits of
conventional relational databases. We're looking for people who
innovate, love solving hard problems, and never take "no" for an
answer. Key job responsibilities As part of our team, you will: •
Design, implement, and support data warehouse/ data lake
infrastructure using AWS bigdata stack, Python, Redshift,
QuickSight, Glue/lake formation, EMR/Spark, Athena etc. Creation
and support of real-time data pipelines built on AWS technologies.
• Incremental processing of data using Iceberg adn Spark •
Collaborate with other Engineering teams, Product/ Managers/SDE's
to implement AI based agentic analysis - 3 years of data
engineering experience - Experience with data modeling, warehousing
and building ETL pipelines - Experience with one or more query
language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) -
Experience with one or more scripting language (e.g., Python,
KornShell) - Experience with big data technologies such as: Hadoop,
Hive, Spark, EMR - Experience with any ETL tool like, Informatica,
ODI, SSIS, BODI, Datastage, etc. 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 - 101,300.00 -
160,000.00 USD annually
Keywords: Amazon, Lakewood , Big Data Engineer, IT / Software / Systems , Seattle, Washington
