This role is with Apex Fintech Solutions. Apex Fintech Solutions uses RippleMatch to find top talent.
Data Engineering Intern
Work Location: Dallas, TX
Employee Type: Intern
Is Position Eligible for current and/or future Visa Sponsorship: No
Internship Timeline: 10 Weeks (June 2024 – August 2024)
Apex delivers speed, efficiency & flexibility through technology solutions to firms ranging from
innovative start-ups to blue-chip brands who choose to grow with us. We embrace a culture of
growth, experimentation, and creativity. Employees of Apex are asked to exercise their own
responsibility and freedom, allowing each person to have a measurable impact on the business
and provide plenty of opportunity for advancement and personal growth. Sound like something
you would want to be a part of? We're hiring!
Start your career by joining a thriving, successful team enabling innovation within the financial
services industry. Apex is seeking an intern to join the Data team. As a member of this team,
you'll have a large impact on the firm by adding your data engineering experience to our
organization and employees, in a rapidly growing environment. Additionally, our diverse
business streams affords you the unique opportunity to grow across a variety of verticals,
engaging you in unique challenges, projects, and technologies.
To be considered, you must be able to commit to a 10-week hybrid internship and work 40 hours
per week during our summer program.
The skills you’ll need to succeed:
- Be currently enrolled in a full-time bachelor's degree program in Data Science, Computer Engineering, or other related major. Junior or Senior standing preferred.
- Experience with any modern programming languages such Python, Java, & SQL
- Excellent problem-solving skills with high attention to detail
- Effective interpersonal, verbal, and written communication skills
- Proficient in Microsoft Office 365
Preferred skills:
- Relevant work experience or work experience in a professional environment (e.g., internships, summer positions, school jobs, etc.)
- Knowledge of ETL (extract, transform, and load) concepts, data warehousing methodologies, and cloud computing
- Exposure to and support of data visualization tools