Data Engineer Intern: Build Real-World Pipelines

Amazon Inc.

Seattle (WA)

On-site

USD 96,000 - 117,000

Full time

35 hours ago
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Job summary

Amazon.com Services LLC in Seattle offers a Data Engineer Internship where you will design and build data pipelines and contribute to data warehousing projects. You will work with engineers and analysts to drive business decisions and learn best practices in a fast paced environment.

The program emphasizes hands-on learning, mentorship, and collaboration across teams, with exposure to distributed systems, SQL, Python and AWS.

Qualifications

  • Be at least 18 years old.
  • Commit to 12-week internship and 40-hour weeks.
  • Enrolled in a US-based academic program.
  • Experience with data transformation and databases/data warehouses.
  • Experience with SQL and at least one scripting language.
  • Degree with expected conferral between Oct 2027–Dec 2030.

Responsibilities

  • Design, implement, and automate deployment of a distributed system for collecting and processing log events from multiple sources.
  • Design data schema and operate internal data warehouses and SQL/NoSQL databases.
  • Own the design, development, and maintenance of metrics, reports, analyses, and dashboards for decision-making.
  • Monitor and troubleshoot data pipelines.
  • Drive architectural plans for future storage, reporting, and analytic solutions.
  • Develop code-based automated data pipelines processing millions of data points.
  • Improve database and data warehouse performance by tuning queries.
  • Collaborate with analysts and data scientists to identify opportunities.

Skills

Data transformation
SQL
Scripting languages

Education

Bachelor’s/Master’s degree in CS/CE/Info Mgmt
Expected conferral Oct 2027–Dec 2030

Tools

AWS
Hadoop
Apache Spark
Tableau
QuickSight

Job description

Amazon.com Services LLC in Seattle offers a Data Engineer Internship where you will design and build data pipelines and contribute to data warehousing projects. You will work with engineers and analysts to drive business decisions and learn best practices in a fast paced environment.

The program emphasizes hands-on learning, mentorship, and collaboration across teams, with exposure to distributed systems, SQL, Python and AWS.

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