Data Engineer

Seattle, Washington, USA

Full Time Senior-level / Expert USD 76K - 150K * logo

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Job summary
As a Data Engineer you will enable data-driven decision making within the Amazon Web Services Data Center Infrastructure Operations organization. The Infrastructure Operations Team is responsible for planning, implementing, monitoring and continuously improving the global Amazon Data Center infrastructure. The team supports all aspects of the Data Center based organizations, including but not limited to : Safety, Security, maintenance, daily operations, logistics, engineering and equipment management.

You will be developing, implementing and maintaining the information data lake and utilizing insight platforms to enable decision support systems for the overall organization. You should have excellent business and communication skills, and be able to work with business owners to understand their data and reporting requirements.

Above all, you should be passionate about working with huge data sets and be someone who is able to bring data sets together to answer business questions and drive growth. You will build ETLs to ingest the data into the data warehouse and data lake, as well as end-user facing reporting applications. You will primarily support teams within the Infrastructure environment, but will also have opportunities to support teams in the overall Amazon Web Services community.

You will work with business customers and development teams to define analytics requirements and then deliver flexible, scalable, end-to-end solutions.

You will have an opportunity to work with big data and emerging technologies while driving business intelligence solutions end-to-end: business requirements, data modeling, ETL, metadata, reporting, and dashboarding. You should have expertise in the design, creation, management, and business use of large datasets.

Basic Qualifications

  • Bachelor’s Degree in Computer Science, Information Systems, Mathematics, Statistics, or related field
  • 6+ years of experience in Data engineering
  • 4+ years of experience with Data modeling, SQL, ETL , Data Warehousing and Datalakes
  • 4+ years experience in writing SQL scripts Expert knowledge in an enterprise class RDBMS
  • Experience with scripting language such as Python, Perl, Ruby or Javascript
  • Excel in the design, creation, and management of very large datasets

Preferred Qualifications

  • Ability to balance and prioritize multiple conflicting requirements with high attention to detail.
  • Excellent verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams.
  • Comfortable working in a Linux environment
  • Experience with MPP databases such as Redshift
  • Knowledge of AWS products and services
  • Exposure to predictive/advanced analytics and tools (such as R, SAS, Matlab)
  • Experience with Datalake development
  • Exposure to noSQL databases (such as DynamoDB, MongoDB)
  • Meets/exceeds Amazon’s leadership principles requirements for this role
  • Meets/exceeds Amazon’s functional/technical depth and complexity for this role

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
* Salary range is an estimate based on our salary survey at
Job perks/benefits: Flex hours
Job region: North America
Job country: United States
Job stats:  2  0  0
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