Paid Summer Cloud Data Engineering Intern

Cambridge Investment Research, Inc.; Phoenix (AZ); On-site; USD 23,000 - 36,000; Full time

Job summary

Cambridge Investment Research, Inc. is seeking a Data Engineering Intern to support the Business Intelligence and Insights team.

You will collaborate with Data Architecture and Engineering to build enterprise data solutions, develop cloud data pipelines, APIs, and data quality frameworks for trusted, AI-ready data and analytics. The role involves working on data ingestion, transformations, governance, and integration tasks with technologies like Snowflake, Azure, Kafka, and dbt.

Qualifications

• Pursuing undergraduate or graduate studies in Data Engineering, Business Analytics, CS, IT, or a related field.
• Experience with Python, SQL, cloud technology, or data engineering concepts.
• Interest in building data pipelines, APIs, ETL/ELT workflows, and cloud-based data solutions.

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 to improve 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 governance

Education

Undergraduate or graduate student in Data Engineering / CS

Tools

Snowflake

Azure

Kafka

dbt

Git

Azure DevOps

Confluence

CI/CD

Job description

Cambridge Investment Research, Inc. is seeking a Data Engineering Intern to support the Business Intelligence and Insights team.

You will collaborate with Data Architecture and Engineering to build enterprise data solutions, develop cloud data pipelines, APIs, and data quality frameworks for trusted, AI-ready data and analytics. The role involves working on data ingestion, transformations, governance, and integration tasks with technologies like Snowflake, Azure, Kafka, and dbt.