Data Engineering Internship: Build Scalable Pipelines

Amazon; Seattle (WA); On-site; USD 64,000 - 107,000; Full time

Job summary

Amazon in Seattle, WA is offering a Data Engineer internship that emphasizes building scalable data pipelines, data warehouses, and dashboards. You will collaborate with analysts, data scientists, and engineers to collect, transform, store, and analyze large datasets, contributing to business decisions from day one.

You will work on deployment automation, data schemas, and performance tuning while gaining hands-on experience with AWS, Hadoop, Spark, and visualization tools.

Qualifications

• 18 years or older.
• Work 40 hours/week minimum and 12 week internship maximum.
• Enrolled in a US-based academic program.
• Experience with data transformation.
• Experience with database, data warehouse or data lake solutions.
• Experience with SQL.
• Experience with one or more scripting language (e.g., Python).
• Expected conferral date between Oct 2027 and Dec 2030.

Responsibilities

• Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources.
• Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards used to drive key business decisions.
• Monitor and troubleshoot operational or data issues in the data pipelines.
• Drive architectural plans and implementation for future data storage, reporting, and analytic solutions.
• Develop code based automated data pipelines able to process millions of data points.
• Improve database and data warehouse performance by tuning inefficient queries.
• Work collaboratively with Business Analysts, Data Scientists, and other internal partners.
• Provide assistance with troubleshooting and root-cause analysis.

Skills

SQL

Python

Data transformation

Education

Bachelor's or Master's in CS/Engineering/Info Systems

Tools

AWS

Hadoop

Apache Spark

Tableau

AWS QuickSight

Job description

Amazon in Seattle, WA is offering a Data Engineer internship that emphasizes building scalable data pipelines, data warehouses, and dashboards. You will collaborate with analysts, data scientists, and engineers to collect, transform, store, and analyze large datasets, contributing to business decisions from day one.

You will work on deployment automation, data schemas, and performance tuning while gaining hands-on experience with AWS, Hadoop, Spark, and visualization tools.