Data Engineering Internship — Build Real Pipelines

Perpay - Career's Page

Philadelphia (Philadelphia County)

Hybrid

USD 30,000 - 44,000

Full time

14 days+

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Job summary

Perpay, a Philadelphia-based growth-stage startup and certified B Corp, invites you to join its Data Engineering Internship for Summer 2027. You’ll learn by doing real work, building data pipelines, and collaborating with Risk, Commerce, Marketing, Ops, and Finance.

You’ll gain hands-on experience with AWS Redshift, Glue, Airflow, Terraform, Python, and SQL while helping design tools and infrastructure for analyzing large data sets.

Qualifications

  • Pursuing a Master's in CS/CE/Info Mgmt/IS/Math with expected graduation between winter 2027 and summer 2028.
  • Experience using SQL for data acquisition and transformation.
  • Experience with database and/or data warehouse operations.
  • Exposure to third-party APIs.
  • Experience with object-oriented programming languages (Python preferred).

Responsibilities

  • Learn by doing real work while building data pipelines.
  • Help design tools and infrastructure for analyzing large volumes of data.
  • Partner with stakeholders across Risk, Commerce, Marketing, Ops, and Finance on data projects.
  • Work with our full data stack including AWS (Redshift, Glue, ECS, DMS), Fivetran, Airflow, DataHub, Terraform, Python, and SQL.

Skills

SQL
Python
APIs

Education

Master's degree in Computer Science / Computer Engineering / Information Management / Information Systems / Mathematics

Tools

AWS
Redshift
Glue
ECS
DMS
Fivetran
Airflow
DataHub
Terraform

Job description

Perpay, a Philadelphia-based growth-stage startup and certified B Corp, invites you to join its Data Engineering Internship for Summer 2027. You’ll learn by doing real work, building data pipelines, and collaborating with Risk, Commerce, Marketing, Ops, and Finance.

You’ll gain hands-on experience with AWS Redshift, Glue, Airflow, Terraform, Python, and SQL while helping design tools and infrastructure for analyzing large data sets.

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