AWS Utility Computing (UC) is seeking a Data Engineer II to join their Product BI team, focusing on supporting the business intelligence needs for AWS's core services including Compute, Storage, Networking, and Developer Tools. This role offers an opportunity to work with one of the world's largest data warehouse environments, supporting critical decision-making across AWS product teams.
The position involves working with massive datasets and complex data warehouse environments, designing and implementing data solutions that drive business decisions. You'll be part of a team that supports various AWS product families, owning data, metrics, and reporting while empowering stakeholders to make data-driven decisions.
As a technical leader, you'll architect BI and Data platforms, work with large-scale data sets, and solve unique business problems. The role requires creative problem-solving skills and the ability to deliver actionable outputs. You'll work in an environment that values innovation, with opportunities to pioneer solutions to unsolved problems.
The team operates with the motto "nothing is beyond our reach," encouraging big thinking and ground-up solution development. You'll be surrounded by exceptionally talented individuals who believe world-class BI is crucial to AWS's success. The position offers competitive compensation ranging from $118,900 to $205,600 based on location, plus equity and comprehensive benefits.
Key responsibilities include designing data management systems, building scalable data solutions, working with business stakeholders, and ensuring robust technical infrastructure. The ideal candidate will be self-driven, comfortable with ambiguity, detail-oriented, and able to thrive in a fast-paced environment while working effectively with cross-functional teams.
AWS values diverse experiences and work-life harmony, offering an inclusive team culture with various employee-led affinity groups. The role provides opportunities for mentorship and career growth in one of the world's leading cloud computing platforms.