Data Engineering Intern
HybridTampa, Florida, United States
Tampa, Florida, United StatesHybridFull TimeEntry LevelMedium
Full TimeEntry LevelMedium
Job Summary
Build and maintain data pipelines, improve data quality, and work with engineers and analysts to enable reliable, scalable data solutions. Execute simple data transformations, reports, and ETL processes while performing data validation and documentation. Utilize Basic SQL, Python, and Apache Superset for data visualization, and apply understanding of Azure Data Lake and Databricks to support transaction processing. This internship supports analytics and data platform initiatives at Fintech, a 35-year-old B2B fintech platform centralizing invoice, POS, and delivery data for retail, hospitality, and alcohol industries.
Required Qualifications
- Current Student or Recent Graduate
- Bachelor's in Computer Science, Data Engineering, Statistics, or related field
- 0 – 1 years of experience
- Basic SQL
- Python programming
- Understanding of data concepts and terminology
- Simple ETL processes
- Data validation
- Data quality basics
- Documentation
- Introduction to Azure Data Lake
- Databricks
- Basic data visualization with Apache Superset
- Understanding of financial data
- Transaction processing
- Attention to detail
- Accuracy
- Curiosity about data patterns and insights
- Ability to follow detailed procedures
- Basic analytical thinking
- Willingness to learn complex technical concepts
- Documentation and organization skills
Desired Qualifications
- experience in Data
- experience in BI
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