Amazon (501+ Employees, 130% 2 Yr Employee Growth Rate)

82% 1-Year Employee Growth Rate | 130% 2-Year Employee Growth Rate | LinkedIn | $108M Venture Funding

What Is Employee Growth Rate & Why Is It Important?


Job summary
Prime Video is changing the way millions of customers interact with video content. Our team delivers high-quality video to Amazon customers through subscriptions (Amazon Prime) as well as purchases and rentals.

We are looking for talented data engineer to help us build Prime Video next-gen Data Platform to power all off-line and online data applications. Do you want to both help us change the way we serve recommendations to customers and simulatneously accelerate the development of cutting-edge ML models that understand what customers will want to watch. Do you want to help Prime Video provide the most personally engaging viewing experiences? Then, our team is for you.

This position can be primarily virtual but must be attached to an existing Prime Video office:
• Seattle, Washington
• Culver City, California
• Arlington, Virginia
• Austin, Texas
• New York, New York


  • 3+ years of experience as a Data Engineer or in a similar role
  • Experience with data modeling, data warehousing, and building ETL pipelines
  • Experience in SQL


  • Bachelor’s or Master’s degree in computer science, engineering, mathematics, or a related technical discipline
  • 3+ years relevant professional experience in Data Engineering and Business Intelligence
  • 2+ year of coding experience with programming or scripting language (Python, Scala, Java, etc.).
  • Strong knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures, data modeling and performance tuning.
  • Knowledge of data management fundamentals and data storage principles.
  • Database design and administration experience with various RDBMS, such as MS SQL Server, PostgreSQL, MySQL, etc.
  • Advanced data analysis skills
  • Knowledge of distributed systems as it pertains to data storage and computing.
  • Ability to communicate effectively with both business and technical teams.
  • Experience using any big data technologies (Hadoop, Hive, Hbase, Spark, etc.)
  • Experience with AWS services including Redshift, RDS, S3, Glue, Athena etc.
  • Experience building data products incrementally and integrating and managing datasets from multiple sources.
  • Experience providing technical leadership and mentoring other engineers for best practices on data engineering
  • Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations

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

Tagged as: >100% 2 Yr Employee Growth, 501+ Employees, Hide US-Only Jobs, Venture Funded

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