Data engineering intern

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 hiring Data Engineering Interns for 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.