Data Engineer II, Data Science & Analytics

$118,900 - $205,600/Yr

Amazon - Seattle, WA

Full-time - Mid Level

Seattle, WA

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Data Engineer II position at Amazon's AWS Hardware Engineering team focuses on building data products and services that transform hardware monitoring data into actionable insights through advanced analytics and machine learning. The role involves providing technical leadership, developing end-to-end analytical solutions, and ensuring data solutions are customer-centric and impactful.

Responsibilities

• Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.
• Implement data ingestion routines both real-time and batch using best practices in data modeling, ETL/ELT processes leveraging AWS technologies and big data tools.
• Gather business and functional requirements and translate these into robust, scalable, operable solutions with a flexible data architecture.
• Collaborate with engineers to adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.
• Work with scientists to create efficient algorithms for optimization, statistical analysis, prediction, clustering, and machine learning.
• Improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.

Requirements

• 2+ years of data engineering experience.
• A Bachelor's degree in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering) or equivalent industry experience.
• 2+ years of experience with ETL/ELT, data modeling, data warehouse technical architecture, infrastructure components, and reporting/analytic tools.
• 2+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets.
• 2+ years of experience in scripting languages like Python.

Nice-to-haves

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
• Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases).

Benefits

• Full range of medical benefits
• Financial benefits including equity and sign-on payments
• Comprehensive employee benefits package