Amazon - Boulder, CO

posted 2 months ago

Full-time - Mid Level
Boulder, CO
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

As a Data Engineer II on the Measurement, Ad Tech, and Data Science (MADS) team at Amazon, you will play a crucial role in building and maintaining the infrastructure necessary for advanced analytics within the Amazon Marketing Cloud (AMC). This position involves working with a secure, privacy-safe, cloud-based environment that allows advertisers to perform analytics across multiple pseudonymized data sets. Your work will directly impact how advertisers measure their campaigns, refine their audiences, and optimize their supply, ultimately enabling them to make informed decisions about their cross-channel marketing investments. In this role, you will utilize engineering best practices, data management fundamentals, and operational excellence to ensure the high quality and scalability of big data flows. You will collaborate closely with engineering, business intelligence, and product teams across Amazon Advertising to support a large initiative that spans multiple existing and newly formed teams within the organization. This is an exciting opportunity to contribute to a green field product that has the potential to impact millions of customers daily. If you are a self-starter who enjoys designing large-scale distributed systems and tackling ambiguous problems, this position offers a unique chance to build a new initiative from the ground up alongside some of the best full-stack engineers at Amazon. You will be part of a team that pioneers the use of modern full-stack technologies at Amazon scale, driving results that influence the company's business outcomes.

Responsibilities

  • Build and maintain the infrastructure for data analytics within the Amazon Marketing Cloud.
  • Utilize engineering best practices to ensure data quality and scalability.
  • Collaborate with engineering, business intelligence, and product teams to support big data flows.
  • Design and implement ETL pipelines for data ingestion and transformation.
  • Work on large-scale initiatives that span multiple teams within the Advertising organization.

Requirements

  • 3+ years of data engineering experience.
  • Experience with data modeling, warehousing, and building ETL pipelines.
  • Proficiency in a functional programming language such as Python, Scala, or Kotlin.

Nice-to-haves

  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
  • Familiarity with non-relational databases and data stores such as object storage, document stores, key-value stores, graph databases, and column-family databases.
  • Knowledge of distributed systems related to data storage and computing.

Benefits

  • Comprehensive medical, financial, and other benefits.
  • Equity and sign-on payments as part of total compensation package.
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