Data Engineer II: Build Scalable Hiring Data Pipelines

Amazon Inc.; Seattle, Northern (WA, KY); Hybrid; USD 132,000 - 179,000; Full time

Job summary

Amazon.com Services LLC is seeking a data engineering professional to design and operate scalable data pipelines using AWS, translating raw data into actionable insights and building robust ETL processes for large-scale BI analytics.

As part of the ITA Data team, you will partner with stakeholders to shape data architecture, ensure data integrity, and enable fair, efficient hiring decisions at scale. Seattle-based, with competitive benefits and RSU considerations.

Qualifications

• 3+ years developing and operating large-scale data structures for BI analytics.
• Proficiency in at least one modern language (e.g., Java, Python).
• Experience with SQL, data warehousing, and ETL pipelines.

Responsibilities

• Design and implement scalable, secure data pipelines and infrastructure using AWS technologies and big data tools.
• Build and maintain high-performance ETL processes that handle large-scale, complex datasets.
• Architect end-to-end analytical solutions that are highly available, stable, and cost-effective.
• Transform raw data into actionable insights through effective data modeling and integration.
• Implement best practices in data system creation, data integrity, and documentation.
• Proactively identify opportunities for process improvement and automation.
• Partner with business stakeholders to gather requirements and translate them into technical solutions.

Skills

Programming languages

SQL

Tools

AWS Redshift

AWS S3

AWS Glue

EMR

Kinesis

Firehose

Lambda

IAM

NoSQL/Data stores

Job description

Amazon.com Services LLC is seeking a data engineering professional to design and operate scalable data pipelines using AWS, translating raw data into actionable insights and building robust ETL processes for large-scale BI analytics.

As part of the ITA Data team, you will partner with stakeholders to shape data architecture, ensure data integrity, and enable fair, efficient hiring decisions at scale. Seattle-based, with competitive benefits and RSU considerations.