Data Engineer job in Cupertino, CA | Amazon.com Services LL

Data Engineer
Amazon.com Services LLCCupertino, CA2 months ago

  • 2+ years of experience analyzing and interpreting data and experience with Redshift, Oracle, NoSQL etc.

  • Experience with data modeling, data warehousing, and building ETL pipelines

  • Bachelor's degree in a quantitative/technical discipline such as Computer Science, Engineering, Statistics

  • 1+ years of experience as a Data Engineer or in a similar role

  • Knowledge of distributed systems as it pertains to data storage and computing

  • BA/BS in Computer Science, Engineering, Mathematics or related field.

  • 5+ years of experience as a Data Engineer or in a similar role

  • Experience in SQL

  • 4+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets

  • Experience using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)

  • Knowledge of data management fundamentals and data storage principles

  • Knowledge of distributed systems as it pertains to data storage and computing

  • An ability and interest in working in a fast-paced and rapidly-changing environment.


Job summary

***This role can be located in any Amazon corporate office across North America including but not limited to New York, Boston, Los Angeles, Austin, Nashville, Washington DC, Atlanta, Houston, etc.***



Amazon strives to exceed the expectations of our customers by ensuring shipments are delivered quickly, safely, and as compliant as possible. Amazon’s Transportation Risk and Compliance (TRC) Team protects Amazon’s various transportation businesses by implementing scalable risk management solutions that foster continued business growth. To support the business, we build tools to digitize evidence collection to streamline the audit experience for our transportation partners.



We are seeking a seasoned Data Engineer who can build the most advanced data architecture and products at Amazon and in the world. Our systems audit across a multitude of transportation segments and modes both within and across international borders. This mandates building highly available and scalable distributed systems. In this role you will be responsible for designing and delivering large data technical solutions across the TRC organization.You will define and help launch innovative analytical applications used by Product Management, Operations, Auditors, other Dev teams, and Executives with a direct impact on the design, architecture, and implementation of flagship products that customers love and use every day. As part of the team you will help lead the development of very large and complex data applications using machine learning and other mathematical and econometric models -- there is no reporting done by our data engineers.



The ideal candidate will have industry-leading data design skills, working across multiple development teams, as well as working with large data sets and data pipelines. They will have experience defining data solutions, setting up data engineering architecture, and a desire to work within a standard software development life cycle.




  • MBA or Master’s degree in Computer Science, Engineering, Statistics, Mathematics or related field.

  • Experience in writing and tuning SQL scripts.

  • Experience working in very large data warehouse environments.

  • Experience conducting large scale data analysis to support business decision making.


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 https://www.amazon.jobs/en/disability/us



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 https://www.amazon.jobs/en/disability/us.
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