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21 days ago
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Amazon·E-commerce·21 days ago
21 days ago

Data Engineer II - AMZ27957.1

Chicago, United States of AmericaFull-timeOn-siteEntry · 1+ yearsData Engineer

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Must-have skills for this role

  • sql
  • etl
  • elt
  • data modeling

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What you'll do

  • 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.

What they're looking for

  • 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 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.

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

Employer: Amazon.com Services LLC
Position: Data Engineer II - AMZ27957.1
Location: Chicago, IL

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 $139818 - $178800)

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 pay range for this position in Chicago, IL is $139818 - $178800 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Illinois Equal Pay Act. Base pay information is based on market location. 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.
E-commerce

Company

AmazonE-commerce
Chicago, United States of America

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Amazon's careers site·first seen 10 Sept 2026·last verified 10 Sept 2026·How we source jobs

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