Sr. Business Intelligence Engineer, AWS Analytics Engineering

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuously innovating.
$117,300 - $202,800
Data
Senior Software Engineer
In-Person
5,000+ Employees
8+ years of experience
Enterprise SaaS · Cloud

Description For Sr. Business Intelligence Engineer, AWS Analytics Engineering

AWS Analytics Engineering (AAE) team is seeking a Senior Business Intelligence Engineer to join their dynamic team working on foundational cloud services. This role offers an exciting opportunity to work with massive datasets in one of the world's largest data warehouse environments, creating scalable solutions across AWS services including EC2, S3, Amazon Q Developer, Serverless, Databases, and Networking.

The position combines technical expertise with business acumen, requiring the ability to create scalable reporting solutions, automate systems, and develop self-service analytics capabilities. Working directly with product and business leaders, you'll solve complex business problems and drive analytics strategy. The role is part of AWS Utility Computing (UC), which provides innovative products from foundational services to cutting-edge solutions.

The ideal candidate will be a self-starter who thrives in ambiguous, fast-paced environments, demonstrates strong attention to detail, and excels at cross-functional collaboration. You'll join a team that values knowledge-sharing and mentorship, with opportunities to grow your engineering expertise through challenging projects and supportive code reviews.

The role offers competitive compensation ranging from $117,300 to $202,800 based on location and experience, plus comprehensive benefits. You'll be part of Amazon's inclusive culture that embraces diversity through employee-led affinity groups and ongoing learning experiences. The position provides excellent career growth opportunities through mentorship, knowledge-sharing, and exposure to large-scale technical challenges in cloud computing.

Last updated a day ago

Responsibilities For Sr. Business Intelligence Engineer, AWS Analytics Engineering

  • Work with business customers in understanding requirements and implementing analytical solutions
  • Design and implement large scale reporting solutions
  • Design and implement robust data models to automate data-driven insights
  • Build analytical environment using reporting tools, metadata modeling, and dashboards
  • Apply advanced analytical techniques for optimized decision making
  • Define and drive team analytical strategy
  • Implement automation for scalable self-service solutions
  • Apply Gen AI, segmentation, forecasting and other analytical techniques
  • Mentor junior engineers

Requirements For Sr. Business Intelligence Engineer, AWS Analytics Engineering

Python
  • Bachelor's Degree in Information System, Computer Science, or a related technical field
  • 8+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
  • 5+ years of experience with data visualization using Tableau, Quicksight, or similar tools
  • 5+ years of experience with data modeling, warehousing and building ETL pipelines

Benefits For Sr. Business Intelligence Engineer, AWS Analytics Engineering

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
  • Comprehensive medical, dental, and vision insurance
  • Parental leave
  • Career growth and mentorship opportunities
  • Employee-led affinity groups
  • Knowledge sharing and mentorship programs

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