Senior Data Engineer, Global Logistics - Product

$139,100 - $240,500/Yr

Amazon - Bellevue, WA

Full-time - Mid Level

Bellevue, WA

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

About the position

The Senior Data Engineer role within Amazon's Global Logistics Product team is a high-impact position focused on designing, implementing, and delivering large-scale data solutions. This role aims to transition core data pipelines from manual processes to scalable CDK-based solutions, enhancing data capabilities for self-service analysis and dashboards. The position involves collaboration across teams, mentoring junior engineers, and staying updated with the latest data technologies to drive operational excellence.

Responsibilities

• Design and implement robust and scalable data pipelines to ingest, transform, and load data from various production sources into our data lake and warehouse.
• Scale self-service tools to the broader organization.
• Collaborate cross-functionally to identify strategic opportunities for improvements in data infrastructure and analytics.
• Mentor and lead other data engineers, driving best practices in data engineering and operational excellence.
• Stay up-to-date with the latest data technologies and architectures, and proactively recommend innovations.

Requirements

• 5+ years of data engineering experience
• Experience with data modeling, warehousing, and building ETL pipelines
• Experience with SQL
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience mentoring team members on best practices
• Experience communicating with users, other technical teams, and management to collect requirements and describe data modeling decisions
• Experience building data products incrementally and integrating and managing data sets from multiple sources
• Experience with AWS Tools (CDK, Maestro, Glue, Lambda, S3, SNS, IAM Roles, etc.)

Nice-to-haves

• 7+ years of data engineering, database engineering, business intelligence, or business analytics experience
• Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
• Experience operating large data warehouses
• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

Benefits

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan