Data Engineer, Internal Audit Data Analytics

  • Amazon Web Services (AWS)
  • Seattle, WA, USA
  • May 10, 2023
Full-time Analytics AWS C# C++ Data Engineering Data Modeling Data Warehousing ETL Java SQL

Job Description

Internal Audit’s mission is to help our businesses improve controllership, operational efficiency, and customer experience.

Amazon is seeking a Data Engineer for our Internal Audit Data Analytics team to provide data analytics services and solutions to enable our audit programs to scale with Amazon’s growth and complexity. This is a highly visible opportunity to provide custom-build solutions and services that will increase the productivity of Amazon’s audit function using data.

In this role, you will be a technical expert with a scope that spans all of Amazon’s Consumer businesses, Amazon Web Services, and Amazon subsidiaries. You will work closely with the Engineers & Scientists on our team to improve resiliency and quality of the data in our environment. You will be an expert in sourcing semi-structured and complex data types and normalizing them into a consumable data models that are accessible to business users. Our team maintains an infrastructure that supports changing data needs. This requires data engineering problem solving to build high quality, reliable, accurate, consistent, and architecturally sound data solutions that are aligned with our business objectives.

Key job responsibilities

  • Develop and improve the current data architecture, data quality, monitoring, and data availability.
  • Collaborate with Data Scientists to implement analytical solutions that leverage our rich data sets for statistical analysis, prediction, clustering, and machine learning
  • Partner with Engineers from upstream data teams to develop mechanisms for data ingestion and quality assurance
  • Help continually improve ongoing reporting and analysis processes simplifying self-service support for customers
  • Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale and take advantage of new AWS services.


  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with SQL
  • Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions


  • Experience with distributed systems as it pertains to data storage and computing
  • Experience in ETL optimization, designing, coding, and tuning big data processes using Apache Spark or similar technologies.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit Applicants should apply via our internal or external career site.

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