Velera Solutions22.02.26
AI SCORE 8.0

Intern - Data Engineer - Remote

$42K/year

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.
Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.0 of 10

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.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

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.

Learning Resources

Databricks Documentationguide

Career Path

Intern - Data Engineer(Now)Junior Data Engineer(1-2 years)Data Engineer(3-5 years)

Market Overview

Market Size 2024
$6.5B
Annual Growth
25.4%
AI Adoption
68%
Investment
+45%
Labour Demand
+30%
Avg Salary
$90K

Skills & Requirements

Required
DatabricksETLPython
Growing in Demand
Apache SparkMachine LearningData Warehousing
Declining
Hadoop MapReduceTraditional ETL Tools

Domain Trends

Rise of Unified Analytics Platforms
The adoption of unified analytics platforms like Databricks is increasing, with 60% of organizations reporting improved data collaboration and insights.
Increased Focus on Real-Time Data Processing
Real-time data processing is becoming essential, with 55% of enterprises prioritizing streaming data capabilities to enhance decision-making.
Growth in Data-Driven Decision Making
Organizations are increasingly relying on data analytics for strategic decisions, with 70% of companies stating that data-driven insights have influenced their business strategies.

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