Intern - Data Engineer - Remote
About the Role
Join Velera Solutions as an Intern - Data Engineer, where you will gain valuable experience in the financial technology sector while working remotely. This internship is designed for junior or senior undergraduate students eager to develop their skills in data engineering, particularly focusing on ETL processes and analytics. As a Data Engineer Intern, you will have the opportunity to work with Databricks and support pipeline performance, engaging in team Agile meetings and researching Databricks features.
What You'll Do
- Participate in hands-on projects that enhance your understanding of data engineering in the financial technology sector.
- Support the performance of data pipelines using Databricks and other tools.
- Engage in Agile team meetings to foster collaboration and communication skills.
- Research and implement Databricks features to improve project outcomes.
- Network with industry leaders and gain exposure to the Credit Union industry.
Requirements
- Completion of sophomore or junior year in an accredited undergraduate program.
- Minimum GPA of 3.0/4.0 at the time of application.
- Strong verbal and written communication skills.
- Organizational and detail-oriented skills.
- Critical thinking and problem-solving abilities.
- Proficiency in MS Office Suite, especially Excel.
- Experience with Python is a plus.
Nice to Have
- Passion for learning about the Credit Union industry.
- Alignment with Velera’s culture and values.
- Ability to adapt to changing priorities.
What We Offer
- Competitive pay at $20.00/hour, translating to approximately $41,600 annually.
- Comprehensive medical, dental, and vision coverage.
- Paid Time Off (PTO) and 12 paid holidays.
- 401k with employer match and Health Savings Accounts (HSA) contributions.
- Tuition reimbursement and wellness programs.
- Employee Assistance Program (EAP) and community volunteer time off.
- Flexible spending accounts (FSA) and company-paid disability insurance.
This internship offers a unique opportunity to gain hands-on experience in the financial technology sector while working remotely. With a competitive pay structure and comprehensive benefits, it's ideal for students looking to kickstart their careers in data engineering.
Who Will Succeed Here
Proficient in Python and familiar with libraries like Pandas and NumPy, with the ability to write clean, efficient code for data manipulation and ETL processes.
Self-motivated and disciplined, capable of thriving in a remote work environment by managing time effectively and collaborating asynchronously with team members.
Eager to learn and adapt, with a strong analytical mindset to derive insights from data and improve pipeline performance using Databricks and data analytics tools.
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