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Data Engineer III

Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics.

  • Austin, Texas, United States
  • Full-time
  • On-site
  • $178K–$209K per year
  • Posted Nov 9, 2026
INDUSTRYSoftware & InternetSaaS & Enterprise Software

Responsibilities

  • 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
  • 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

Requirements

  • Master's degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field

Skills

ETL/ELT processesOLAP technologiesdata modelingSQLOracle

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Full description

Employer: Amazon.com Services LLC Position: Data Engineer III - AMZ27926.2 Location: Austin, TX 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 $178317 - $209100) Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000 Basic Qualifications Master's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and three years of experience in the job offered, or as an Operations Research Analyst, Database Developer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and seven years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and three years of experience. Must have one year of experience in the following skill(s): (1) developing and operating large-scale data structures for business intelligence analytics using each of the following: (i.) ETL/ELT processes; (ii.) OLAP technologies; (iii.) data modeling; (iv.) SQL; and (v.) Oracle. #0000 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.

Data Engineer III at Amazon | Referso Jobs