Superhealth is actively hiring a Data Engineer Intern for its Bangalore office. This is a 3-month full-time, in-office internship offering a stipend of ₹15,000 – ₹18,000 per month.
The internship is ideal for students or recent graduates interested in data engineering, cloud data platforms, and big data technologies. Selected candidates will work on building scalable ETL pipelines, optimizing queries, and designing data warehouse schemas.
Candidates with knowledge of Python, Java, SQL, and cloud data tools such as AWS, Snowflake, or BigQuery will have an advantage.
About the Company
Superhealth is a healthcare startup focused on transforming healthcare access in India. The company aims to build a network of hyperlocal, multi-specialty hospitals that deliver high-quality healthcare at significantly lower costs.
By integrating AI-powered systems and digital infrastructure, Superhealth seeks to provide efficient, transparent, and patient-first healthcare services while reducing operational inefficiencies in the healthcare system.
Role Overview
The Data Engineer Internship focuses on working with data pipelines, cloud platforms, and data warehouse systems. Interns will collaborate with engineers and data teams to ensure efficient data ingestion, processing, and analytics capabilities.
This role will give hands-on exposure to modern data engineering tools, cloud services, and big data frameworks, making it a strong starting point for those interested in careers in data engineering, analytics engineering, or big data development.
Responsibilities
Selected interns will work on the following tasks:
• Designing and maintaining scalable ETL/ELT pipelines
• Collaborating on data modeling and schema design for the company’s data warehouse
• Optimizing database queries to improve performance and data integrity
• Supporting data ingestion and transformation processes
• Working with cloud environments and data infrastructure tools
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Technical Toolkit
The internship involves working with the following technologies:
Programming Languages
• Python or Java
• Advanced SQL for data queries and transformations
Cloud & Data Warehousing
• AWS services such as S3 and Redshift
• Snowflake or BigQuery
Big Data Frameworks (Optional but Beneficial)
• Apache Spark
• Apache Kafka
• Hadoop ecosystem
Workflow Orchestration
• Apache Airflow
• Prefect
Candidates may also gain exposure to AWS Glue jobs and cloud-based data environments.
Skills Required
Applicants should have knowledge or interest in the following areas:
• Amazon RDS
• BigQuery
• ETL processes
• Python or Java programming
• SQL database management
Who Can Apply
| Requirement | Details |
|---|---|
| Internship Type | Full-time (In-office) |
| Location | Bangalore, India |
| Duration | 3 Months |
| Start Date | Between 10 March 2026 – 14 April 2026 |
| Apply By | 9 April 2026 |
| Eligibility | Students or graduates with relevant skills and interest |
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Stipend and Perks
| Benefit | Details |
|---|---|
| Monthly Stipend | ₹15,000 – ₹18,000 |
| Internship Certificate | Provided |
| Letter of Recommendation | Available |
| Work Culture | Informal dress code |
This internship offers valuable practical experience in data engineering workflows and cloud data platforms, which can significantly enhance a candidate’s portfolio.
How to Apply
If you are interested in this internship, apply by clicking the Apply button below. Before applying, ensure that your resume clearly highlights your knowledge of SQL, Python or Java, and ETL concepts.
If you have completed data engineering projects, database optimization tasks, or worked with cloud platforms like AWS or BigQuery, mention them in your resume. Adding links to GitHub repositories, academic projects, or data pipeline implementations can help demonstrate your practical skills and improve your chances of getting shortlisted.
You should also showcase your understanding of data modeling, database design, and query optimization, as these are key areas for this internship role.
Disclaimer
This job information is collected from official and publicly available sources. We do not charge any fees for job applications, do not guarantee recruitment, and do not take responsibility for any losses arising from reliance on this information.
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