Data Engineering Intern
Staffline Solutions
Job Overview
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Job Description
About the Opportunity
At Staffline Solutions, we believe strong data systems power strong decisions. This Data Engineering Intern opportunity is designed for individuals who want to build, strengthen, or transition into data engineering skills by working on real-world data pipelines and infrastructure challenges.
What You’ll Learn & Work On
In this role, you will:
- Understand the end-to-end data lifecycle from ingestion to consumption
- Build and maintain data pipelines using Python and SQL
- Work with ETL/ELT processes to move and transform data
- Learn data modelling and database design including relational and basic NoSQL concepts
- Gain exposure to cloud-based data platforms and storage solutions
- Work with tools such as Apache Airflow, Spark (basics), and data warehouses
- Implement data quality, validation, and monitoring practices
- Collaborate with mentors on real business use cases for analytics and data science teams
Who This Is For
This role is perfect for those curious about backend systems, databases, and large-scale data handling. Ideal candidates come from Computer Science, IT, Engineering, Data Analytics, or Data Science backgrounds and are eager to gain practical data engineering experience.
What You’ll Gain
- Structured Data Engineering upskilling and mentorship
- Hands-on experience with production-style data workflows
- A weekly stipend of $20
- Strong foundations in data pipelines, cloud concepts, and databases
- Exposure to how engineering teams support analytics and business intelligence
- Certification and learning documentation, as applicable
- Improved career readiness for roles such as Data Engineer, Analytics Engineer, or BI Engineer
Our Approach
At Staffline Solutions, we focus on ethical, transparent, and supportive learning environments that build long-term career outcomes through practice.
Key skills/competency
Data lifecycle, Python, SQL, ETL, data modelling, cloud, Apache Airflow, Spark, data warehouses, mentorship
How to Get Hired at Staffline Solutions
- Customize Resume: Tailor your resume to emphasize data skills.
- Highlight Projects: Showcase any data pipeline or Python projects.
- Prepare for Technical Insights: Review ETL, SQL, and cloud basics.
- Research Staffline Solutions: Understand their mission and culture.
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