Data Engineer II, Intelligent Talent Acquisition (ITA) - Data

What you get: an onsite Data Engineer II role in Seattle with Amazon's Intelligent Talent Acquisition Data team, a competitive salary range of USD 132,100 to 178,800 per year, and a comprehensive benefits package designed to support your health, financial security, and work-life balance. You will contribute to designing, implementing, and maintaining scalable data infrastructure that powers ITA operations in a collaborative, data-driven culture that emphasizes self-reliance.

Benefits

• Health coverage including medical, dental, vision, and prescription plans
• 401(k) retirement plan with company matching
• Paid time off
• Parental leave
• Basic life and accidental death & dismemberment insurance
• Supplemental life insurance options
• Employee Assistance Program (EAP)
• Mental health support
• Medical advice line
• Flexible spending accounts
• Adoption and surrogacy reimbursement coverage

Responsibilities

• Design and support a platform that provides secure access to large datasets
• Architect, develop, and maintain end-to-end scalable data pipelines and infrastructure
• Define the data strategy and technical roadmap for storage and pipeline design
• Collaborate with other tech teams to extract, transform, and load data from diverse sources using SQL, scripting, and AWS big data technologies
• Create and implement complex ETL pipelines and business intelligence solutions
• Partner with business owners, developers, and BI engineers to explore new data sources and deliver data
• Stay current with advances in big data technologies and run pilots to design scalable data architectures on AWS
• Empower the team for self-service by equipping members with skills to handle complex tasks independently
• Foster a culture of self-reliance by ensuring the team can troubleshoot data issues and maintain high productivity

Requirements

• 3+ years of data engineering experience
• Experience with data modeling, warehousing, and building ETL pipelines
• Proficiency in SQL

Technologies

• SQL
• AWS Redshift
• AWS S3
• AWS Glue
• AWS EMR
• AWS Kinesis
• AWS Firehose
• AWS Lambda
• IAM roles and permissions