Data Engineering Intern

CIR

. Develop and test data pipelines that ingest, transform, and curate data within Cambridge’s cloud data platform .

Posted 9/18/2026internshipPhoenix • Arizona • United StatesEntry Level💰 $17 - $26 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in developing and testing data pipelines, API integrations, and ETL/ELT workflows within cloud environments. Strong understanding of data governance, data quality principles, and collaborative problem-solving in enterprise data settings.

Highest-signal resume keywords

Data Pipeline DevelopmentAPI IntegrationETL/ELT WorkflowsSQLPython

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data EngineeringCloud TechnologyData GovernanceData QualityAnalytical Thinking

Soft Skills

Attention to DetailProblem-SolvingCollaboration

Tools & Technologies

SnowflakeAzureEvent HubsKafkaDbtGitAzure DevOpsConfluenceCI/CD

Industry Keywords

Data AnalyticsEnterprise Reporting

Tech Stack

Tools & technologies

AzureCloudETLKafkaPythonSQL

About the role

Key responsibilities & impact

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
Collaborate with data architects, engineers, analysts, and business stakeholders to deliver scalable data solutions
Document data solutions
Contribute to enterprise reporting and analytics initiatives
Use SQL, Python, Snowflake, Azure, Event Hubs, Kafka, dbt, Git, Azure DevOps, Confluence, CI/CD, and database change management tools

Requirements

What you’ll need

Current undergraduate or graduate student pursuing Data Engineering, Business Analytics, Computer Science, Information Technology, or a related field
Experience with or coursework in Python, SQL, cloud technology, or data engineering concepts
Interest in developing data pipelines, APIs, ETL/ELT workflows, and cloud-based data solutions
Understanding of data governance and data quality principles
Analytical thinking, attention to detail, problem-solving ability, and willingness to learn
Ability to collaborate effectively in an enterprise data environment
Applicants must be authorized to work for any employer in the United States
Unable to accommodate temporary student work authorizations, including initial CPT and OPT

Benefits

Comp & perks

Next Step 11-week paid summer internship program
Professional mentor
Professional development program including industry education, career workshops, leadership panels, and networking events
Apartment-style housing available for Fairfield candidates
2 paid holidays and 2 days of paid time off across the summer
Premium benefit package including medical, vision, dental, life and long-term disability insurance
Vacation/sick time
401K retirement plan with company matching program
Eleven paid holidays
Work/life balance initiatives