INTERNSHIP DETAILS

Data Engineering Intern - Summer 2026

CompanyBig Happy
LocationNew York
Work ModeOn Site
PostedMarch 3, 2026
Internship Information
Core Responsibilities
The intern will support data and analytics teams by participating in data quality checks, basic monitoring, and documenting data sources, schemas, and metrics. They will also assist with Python-based data transformations and internal tools while collaborating on scoped projects.
Internship Type
intern
Company Size
118
Visa Sponsorship
No
Language
English
Working Hours
30 hours
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About The Company
Big Happy is the creative-first, performance-powered adtech platform that transforms everyday screens into unforgettable experiences. With fast turnaround for cinematic visuals, a relentless focus on client success, and seamless delivery across channels, we make impactful advertising as joyful as it is effective.
About the Role

Data Engineering Intern - Summer 2026

Application Deadline: 31 March 2026

Department: Operations

Employment Type: Internship

Location: New York

Compensation: $20.00 / hour



Description

We’re seeking a Data Engineering Intern to support our data and analytics teams as they scale an omnichannel advertising platform. This role is focused on learning, exposure, and guided contribution across data pipelines and analytics workflows.



What You’ll Do

  • Participate in data quality checks and basic monitoring
  • Help document data sources, schemas, and metrics
  • Support the team with data tasks related to mobile and DOOH advertising
  • Assist with Python-based data transformations and internal tools
  • Collaborate with engineers and analysts on scoped projects and learn best practices



What We’re Looking For

  • Currently pursuing a degree in Computer Science, Engineering, Data Science, or a related field
  • Foundational experience with Excel
  • Familiarity with Python or another scripting language
  • Understanding of basic database and data concepts
  • Curious, detail-oriented, and comfortable learning in a fast-paced environment
Nice to Have
  • Coursework or projects involving data, analytics, or engineering
  • Exposure to cloud platforms or data warehouses (specifically AWS)
  • Interest in advertising technology or media platforms



What You’ll Gain

  • Experience working alongside data and platform engineers
  • Improved Python skills through hands-on projects
  • Insight into how data supports omnichannel ad measurement and performance
  • Weekly learning sessions led by subject matter experts
  • Experience collaborating with peers through a structured group project
  • Ongoing mentorship and feedback throughout the program
Location: Hybrid (NYC)
Duration: June 1 – August 7, 2026
Schedule: 30 hours/week, Monday-Thursday
Compensation: $20/hr
Key Skills
PythonExcelData Quality ChecksData PipelinesData TransformationsData DocumentationScripting LanguageDatabase ConceptsAWSData Warehouses
Categories
Data & AnalyticsEngineeringSoftwareTechnology