Data Engineer II: Build Scalable AWS Data Pipelines

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Data Engineer to support data lake and warehouse systems within AWS Data Services. You’ll join a diverse team of engineers, construction specialists, and security experts to deliver scalable data solutions using a serverless architecture, primarily with AWS components including Redshift, S3, Glue, EMR, and Lambda.

You will design and operate ETL pipelines, ensure data quality, and implement governance while collaborating with Data Scientists, PMs, and SDEs to meet data

Qualifications

• Bachelor's degree in a technical field and 3+ years of data engineering experience.
• Experience with data modeling, warehousing and ETL pipelines.
• Proficient in SQL and programming languages such as Python or Java.
• Strong knowledge of distributed data systems, batch and streaming architectures.
• Experience with AWS data services and modern data tooling.

Responsibilities

• Design scalable, fault-tolerant data pipelines using AWS tech and internal tools.
• Collaborate with cross-functional teams to define data requirements.
• Automate deployment with CI/CD pipelines and streamline maintenance.
• Ensure data quality through validation, cleansing, and deduplication.
• Implement data governance, access control, encryption, retention, and audits.
• Continuously improve pipelines and stay current with new tech.
• Build scalable data platforms supporting analytics and self-service data products.
• Write high-quality code interfacing with critical services and APIs.
• Create end-to-end pipelines consolidating data from multiple sources.

Skills

Python

SQL

Data modeling

ETL pipelines

AWS data services

Spark

Distributed systems

CI/CD

Data quality

Communication

Education

Bachelor's degree

Tools

Apache Spark

EMR

Kinesis

Glue

Airflow

Job description

Amazon is seeking a Data Engineer to support data lake and warehouse systems within AWS Data Services. You’ll join a diverse team of engineers, construction specialists, and security experts to deliver scalable data solutions using a serverless architecture, primarily with AWS components including Redshift, S3, Glue, EMR, and Lambda.

You will design and operate ETL pipelines, ensure data quality, and implement governance while collaborating with Data Scientists, PMs, and SDEs to meet data