Data Engineering Intern: Cloud Pipelines & Data Quality

EPC Eneric Petroleum Corp.; Phoenix (AZ); On-site; USD 48,712,000 - 74,501,000; Part time

Benefits offered by this job

Medical insurance

Vision insurance

Dental insurance

Life insurance

Long-term disability insurance

Paid holidays

Job summary

Cambridge’s Next Step data engineering internship is a hands-on role in Phoenix, AZ, designed to support BI and Insights with enterprise data pipelines and cloud integrations. You will collaborate with data architects and engineers to build AI-ready data for reporting and analytics.

The 11-week program runs May 17 – July 30, offering mentorship, professional development, and potential full-time opportunities. Interns work on-site with housing options in some cases.

Qualifications

• Current undergraduate or graduate student pursuing Data Engineering, Business Analytics, Computer Science, IT, or a related field.
• Experience with Python, SQL, cloud technology, or data engineering concepts.

Responsibilities

• Develop and test data pipelines that ingest, transform, and curate data within Cambridge’s cloud data platform.
• Build and maintain API integrations and ETL/ELT workflows with guidance from data architects and engineers.
• Support data quality and data governance processes that improve the reliability and accessibility of enterprise data.
• Collaborate with data architects, engineers, analysts, and business stakeholders to deliver scalable data solutions.
• Document data solutions and contribute to enterprise reporting and analytics initiatives.

Skills

Python

SQL

Cloud technologies

Data engineering concepts

Education

Undergraduate or graduate student

Tools

Snowflake

Azure

Event Hubs

Kafka

dbt

Git

Azure DevOps

Confluence

CI/CD

DB change mgmt tools

Job description

Cambridge’s Next Step data engineering internship is a hands-on role in Phoenix, AZ, designed to support BI and Insights with enterprise data pipelines and cloud integrations. You will collaborate with data architects and engineers to build AI-ready data for reporting and analytics.

The 11-week program runs May 17 – July 30, offering mentorship, professional development, and potential full-time opportunities. Interns work on-site with housing options in some cases.