People Analytics Data Engineering Intern

Cloudflare

. Design, develop, and implement ELT pipelines integrating enterprise data sources into a centralized cloud data warehouse .

Posted 10/5/2026internshipAustin • Texas • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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

Proficient in designing and implementing ELT pipelines and ensuring data quality and compliance within cloud data warehouse environments. Strong focus on data governance and the responsible use of AI technologies.

Highest-signal resume keywords

SQL ProficiencyPython KnowledgeCloud Data Warehouse ExperienceData Governance ExpertiseData Quality Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ELT Pipeline DesignData IntegrationData Lifecycle ManagementRoot-Cause AnalysisData Quality Assurance

Soft Skills

Attention to DetailProblem-Solving

Tools & Technologies

BigQuery

Industry Keywords

Data GovernanceInformation PrivacyAI AnalyticsRegulatory Compliance

Tech Stack

Tools & technologies

BigQueryCloudPythonSQL

About the role

Key responsibilities & impact

Design, develop, and implement ELT pipelines integrating enterprise data sources into a centralized cloud data warehouse
Support historical data retention frameworks and automated data lifecycle management policies
Perform ongoing data quality validation to ensure warehouse accuracy and regulatory compliance
Conduct root-cause analysis to identify and remediate data integrity issues, calculation discrepancies, and record inconsistencies
Expand the semantic data layer supporting an internal AI analytics platform while safeguarding sensitive personal information
Collaborate with People Operations, Compensation, Talent Acquisition, and Engineering stakeholders to translate business requirements into scalable, reliable data solutions

Requirements

What you’ll need

Currently enrolled in a graduate program in Computer Science, Data Engineering, Statistics, or a related discipline
Demonstrated proficiency in SQL
Working knowledge of Python and cloud-based data warehouse platforms (e.g., BigQuery) preferred
Strong interest in data governance, information privacy, and responsible deployment of artificial intelligence systems
Excellent attention to detail
Demonstrated ability to methodically identify and resolve data quality issues
Authorization to receive software or technology controlled under U.S. export laws without sponsorship for an export license may be required

Benefits

Comp & perks

Opportunity to gain practical experience in cloud-based data warehousing, ELT pipeline development, and applied AI infrastructure
Potential in-person interview at a Cloudflare office or hub for applicants progressing to the offer stage