Summer Internship – Data Engineering (Beginner to Intermediate Levels Welcome)
Duration:3 Months |Remote| Flexible Start
Hiring Partner:HIRIST – IT Recruitment Partner
Client:Reputed IT Company (Name confidential)
Interested in building the backbone that powers modern data systems? Whether you’re just starting out or have some experience with data pipelines — this internship gives you real-world exposure to how data is collected, processed, and delivered at scale.
HiRIST is hiringData Engineering Internsfor a reputed IT client, where you’ll work alongside data engineers solving practical data infrastructure challenges.
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✅What You’ll Work On:
• Assist in designing, building, and maintaining data pipelines
• Work with structured and unstructured datasets from real business systems
• Support ETL/ELT processes using SQL, Python, or cloud-based tools
• Learn how to optimize data workflows for reliability and performance
• Help maintain data quality, governance, and documentation standards
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🔍Who Should Apply:
This internship is ideal for:
• Students or recent grads from computer science, engineering, or data backgrounds
• Learners who enjoy solving problems through data structure, pipelines, and systems
• Beginners with some hands-on experience in SQL, Python, or data handling
• Intermediate learners looking to gain practical skills in building data infrastructure
You don’t need a fancy degree — just the drive to learn, experiment, and build.
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🧠Must-Have Skills:
• Basic understanding of SQL and Python
• Familiarity with databases (relational or NoSQL)
• Interest in data flow, storage, and processing
• Good logical thinking and attention to detail
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🌟Nice-to-Have (But Not Required):
• Experience with data pipeline tools like Apache Airflow, DBT, or Kafka
• Knowledge of cloud data services (AWS S3/Glue/Redshift, GCP BigQuery, Azure Data Factory)
• Exposure to Spark, Hadoop, or other big data frameworks
• Personal or academic data engineering projects
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🎁Perks & Benefits:
• 1:1 mentorship with senior data engineers
• Live experience with production-grade data infrastructure
• Internship Certificate upon completion
• Letter of Recommendation based on performance
• Stipend opportunity based on skill and contribution
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🔎Selection Process:
1. Resume Screening (look for data interest and logical mindset)
2. Beginner-friendly Data Engineering Task or quiz
3. Friendly Interview with Data Engineering Mentor/Manager
4. Final Selection & Onboarding via HiRIST
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📝Apply If You:
• Are available for 4–12 weeks
• Can commit 15–20 hours/week remotely
• Want to work on real data engineering tasks (not training simulations)
• Are serious about launching your career in data infrastructure
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📩Ready to Build the Data Backbone?
Apply with your resume + any optional GitHub/project portfolio link.
HiRIST – Connecting future builders to real tech teams.
