Data Engineer Intern
About EasyScaleCloud
EasyScaleCloud is an innovative AI-first company specializing in enterprise-facing AI applications and solutions. We help businesses leverage cutting-edge AI and data infrastructure to transform their operations and accelerate growth across industries and business domains.
About the Role
We are seeking a motivated Data Engineer Intern to design, build, and optimize modern data pipelines and infrastructure for AI-powered applications. In this role, you will work closely with our data engineering and AI teams to deliver enterprise-grade data solutions—covering ingestion, transformation, storage, and integration—while gaining hands-on experience with the modern data stack and cloud platforms.
What makes this unique: You’ll build real-world, production-ready data engineering solutions that power AI applications, using modern tools and best practices to ensure scalability, reliability, and performance.
Key Responsibilities
Data Requirements & Architecture: Work with stakeholders to translate business requirements into data models, pipelines, and system architecture diagrams.
Data Ingestion: Implement connectors and ETL/ELT processes for structured, semi-structured, and unstructured data sources.
Data Transformation: Build scalable transformation workflows using SQL, Python, or PySpark.
Data Storage: Design and optimize data warehouses, data lakes, and feature stores.
Cloud & Deployment: Deploy and manage data pipelines on AWS, GCP, or Azure using modern orchestration tools.
Data Quality & Validation: Implement data validation, monitoring, and alerting to ensure accuracy and reliability.
Documentation: Create data flow diagrams, pipeline documentation, and operational runbooks.
Required Qualifications
Essential Skills
Data Fundamentals: Understanding of relational databases, data modeling, and SQL basics.
Programming Basics: Familiarity with Python or similar languages for data processing tasks.
Problem-Solving Mindset: Ability to troubleshoot and optimize data workflows.
Version Control: Basic Git/GitHub knowledge.
Collaboration Tools: Comfortable with shared documentation, task tracking, and online collaboration.
Core Personal Attributes
Strong Curiosity: Interest in how data powers AI and enterprise applications.
Clear Communication: Ability to explain technical concepts in a structured manner.
Growth Mindset: Openness to feedback and willingness to adopt new tools and practices.
Proactive Learner: Comfortable exploring modern data engineering concepts with guidance.
Preferred Qualifications
Advanced SQL Skills: Writing complex queries, joins, aggregations, and window functions.
ETL/ELT Tools: Exposure to tools like Airflow, dbt, Dagster, or similar.
Big Data Frameworks: Familiarity with Spark or similar distributed processing systems.
Cloud Data Platforms: Basic understanding of AWS Redshift, Google BigQuery, Azure Synapse, or Snowflake.
Data APIs: Experience working with REST APIs for data ingestion.
Data Governance Concepts: Exposure to metadata management, lineage tracking, or security best practices.
No need to meet all preferred skills—this internship is designed to build your technical expertise from the ground up.
What You Will Deliver
Operational Data Pipelines: Fully functional pipelines handling ingestion, transformation, and loading into cloud data storage.
Data Models & Schemas: Well-documented and optimized structures for analytics and AI applications.
Automation Scripts: Python or SQL scripts for recurring data processing tasks.
Professional Portfolio: GitHub repository showcasing your data engineering work.
Deployment Excellence: Deployed solutions with monitoring, alerting, and scaling capabilities.
Eligibility Requirements
🇺🇸 US Citizens and Permanent Residents
✅ All eligible with no restrictions: High school students, undergraduate students, graduate students, and recent graduates can participate without any visa or work authorization requirements.
🌍 International Students Outside the US
✅ All eligible with no restrictions: High school students, undergraduate students, graduate students, and recent graduates located outside the United States can participate without any US work authorization requirements.
📚 International Students in the US (F-1 Visa)
Student Status | Eligibility | Required Authorization | Notes |
|---|---|---|---|
High School Student | ❌ Not Eligible | N/A | No CPT eligibility for high school |
College Freshman | ❌ Not Eligible | N/A | Must complete 1 academic year |
College Sophomore+ | ✅ Eligible | Full-time CPT authorization | Must obtain CPT approval from DSO |
Graduate Student | ✅ Eligible | Full-time CPT authorization | Available immediately upon enrollment |
Recent Graduate | ✅ Eligible | Full-time OPT authorization | Must be within OPT period |
Admitted Students (Pre-arrival) | ✅ Eligible | No authorization needed | Only while still outside the US |
Special Note for Admitted Students: If you've been admitted to a US university but haven't started classes yet, you can participate only while you're still outside the United States. Once you arrive in the US and begin your studies, standard F-1 regulations apply.
Learning & Development
Modern Data Stack: dbt, Airflow, Spark, and cloud-native data tools.
Cloud Platforms: AWS, GCP, or Azure data services.
Data Pipeline Design: Batch and streaming workflows.
Enterprise Data Practices: Data modeling, quality checks, monitoring, and scaling.
AI Integration: Structuring data pipelines to power AI models and analytics.
Application Process
Submit Application: Complete our online application form with your background and interests
Interview: Phone/video call to discuss your goals and assess fit
Onboarding: Begin your AI product management journey
Ready to Shape the Future of AI?
Join EasyScaleCloud and gain hands-on experience building enterprise AI solutions that make a real impact. You'll work with cutting-edge technology, learn from experienced professionals, and build a portfolio that stands out in the competitive AI job market.
APPLY NOW to start your journey in AI solution engineering and be part of the next generation of AI innovators.
This is an unpaid internship position focused on educational and professional development outcomes. All participants gain valuable real-world experience, mentorship, and portfolio-building opportunities.