Data Engineer

Educational Requirements
- Bachelor's degree completed in:
Computer Science, Computer Software Engineering, Software Engineering, Computer Engineering or a closely related field
- Minimum GPA: 3.0/4.0.
- Previous internship experience is a plus, particularly in:
Data Engineering, Software Engineering, Database Engineering, Data Science
Technical Requirements:
The candidate should have foundational knowledge of:
1. SQL
- SELECT, JOIN, GROUP BY and filtering
- Aggregation and basic query development
- Relational databases
- Data validation and troubleshooting
2. Python
- Basic Python programming
- Data-processing scripts
- Automation
- Writing scripts to identify and fix data problems
3. Data Engineering
- Data extraction
- Data cleaning
- Data transformation
- ETL/ELT fundamentals
- CSV and structured data
- Database loading and validation
4. APIs
- Basic understanding of REST APIs
- JSON
- API requests and responses
- Extracting and processing API data
5. Overpass Turbo / OpenStreetMap
- Familiarity with Overpass Turbo is preferred.
- Ability to query OpenStreetMap data is a strong advantage.
- Experience extracting business and geographic data is a plus.
AI Tools
The candidate must be comfortable using modern AI-assisted development tools, including:
- ChatGPT Pro
- Claude Pro
These tools may be used for:
- SQL development and troubleshooting
- Python scripting
- Debugging
- Data cleaning and transformation
- Understanding APIs
- Technical research
- Documentation
- Developing data-processing solutions
Candidates must be able to review, understand and verify AI-generated code before using it.
Preferred Qualifications
Preference will be given to candidates with:
- Previous technical internship experience
- GPA of 3.5+/4.0
- Personal data-engineering projects
- Git/GitHub experience
- PostgreSQL, MySQL or SQL Server experience
- Pandas/NumPy
- Linux experience
- Cloud-platform exposure
- REST API experience
- OpenStreetMap/Overpass Turbo experience
- Experience working with large datasets
- Experience cleaning, deduplicating or validating business data
Professional Requirements
The successful candidate must demonstrate:
- Strong analytical and problem-solving skills
- Strong written and verbal communication
- Reliability and accountability
- Ability to follow technical instructions
- Willingness to work with large and complex datasets
- Ability to document technical work clearly

Work arrangement
Yes