Analytics Engineering Intern: Data Pipelines & AI Tools

Activision Blizzard; Santa Monica (CA); On-site; USD 41,000 - 69,000; Full time

Benefits offered by this job

Living stipend

Relocation assistance

In-person internship

Job summary

Activision Blizzard is offering a 2027 Analytics Engineering Internship in Santa Monica, CA. You will partner with cross-functional teams to develop data pipelines and analytics services using Databricks, Spark, Python and SQL.

The role emphasizes learning, hands-on practice with governance and observability, and collaboration across multiple domains. Ideal candidates are enrolled in CS/Data Science/Engineering programs, with Python/SQL coursework and a passion for reliable, scalable data

Qualifications

• Currently enrolled in a bachelor’s or master’s program and graduating 2027–2028.
• Experience with Python and SQL through coursework or projects.
• Familiarity with data pipelines, ETL/ELT concepts, and software engineering basics.
• Exposure to Databricks, Spark, PySpark, Delta Lake or similar is a bonus.
• Able to work in-person in Santa Monica, CA, with relocation options if needed.

Responsibilities

• Work on data pipelines, analytics services, and AI‑enabled data products.
• Collaborate with Marketing, Analytics, Engineering, Product, and Insights teams.
• Assist testing, validation, monitoring, and troubleshooting of data products.
• Help ensure data quality, security, and governance across projects.

Skills

Python

SQL

Team collaboration

Learning agility

Problem solving

Education

Bachelor's or Master's student

Tools

Databricks

Spark

Delta Lake

Git

PySpark

Job description

Activision Blizzard is offering a 2027 Analytics Engineering Internship in Santa Monica, CA. You will partner with cross-functional teams to develop data pipelines and analytics services using Databricks, Spark, Python and SQL.

The role emphasizes learning, hands-on practice with governance and observability, and collaboration across multiple domains. Ideal candidates are enrolled in CS/Data Science/Engineering programs, with Python/SQL coursework and a passion for reliable, scalable data