Data Engineer II - AMZ27757.1

Amazon is hiring a Data Engineer II - AMZ27757.1 in New York, United States. It pays $160k-$197k 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.
The listed pay starts 9% above the typical data engineer posting on Level.
Tools and skills the posting cites include Oracle, Obiee and SQL.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Design, develop, and operate large-scale data structures and ETL pipelines for business intelligence analytics at Amazon Advertising.

OracleObieeSQL

data-modelingetlbusiness-intelligencedata-engineeringolap

Employer: Amazon Advertising LLC
Position: Data Engineer II - AMZ27757.1
Location: New York, NY

Multiple Positions Available:

Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics. Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies. Provide on-line reporting and analysis using OBIEE business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture. Analyze source data systems and drive best practices in source teams. Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance. Produce comprehensive, usable dataset documentation and metadata. Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers. Evaluate and make decisions around the use of new or existing software products and tools. Mentor junior data engineers.

(40 hours / week, 8:00am-5:00pm, Salary Range $160113 - $196600)

Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

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Basic qualifications

Master's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field and one year of experience in the job offered, or as a Operations Research Analyst, Database Developer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL/ELT processes; OLAP technologies; data modeling; SQL; and Oracle.

The base pay range for this position in New York City is USD $160113 - $196600 (yr). Pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, or other benefits, dependent on the position offered. Applicants should apply via Amazon's internal or external careers site.

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Preferred qualifications

All applicants must meet all the above listed requirements.

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.

How we rate this

Data Engineer II - AMZ27757.1 at Amazon rates 0 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.

Key facts

Data Engineer II - AMZ27757.1 is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $160k-$197k a year.
The role is based in US, NY, New York.
The job was posted on August 31, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data ModelingETLBusiness IntelligenceData EngineeringOlapOracleObieeSQL

Also common in data engineer jobs at this level

Python AWS Spark Azure Airflow Databricks

Pay

This job starts at: $160k
Typical data engineer job: $147k

This posting starts 9% above the typical data engineer job. See data engineer jobs

Questions you could be asked

Tell me about a project where data modeling was part of your work. What did you do?
Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where business intelligence was part of your work. What did you do?
Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where olap was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Modeling, ETL, Business Intelligence, Data Engineering, and Olap. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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