Impactful Data Engineer Internship - Hybrid in Houston

Sotalent; Houston (TX); Hybrid; USD 28,000 - 34,000; Full time

Job summary

Sotalent is offering a paid data engineering internship in Houston for ten weeks, hybrid work arrangement. The program pairs you with mentors and provides networking events and regular feedback to accelerate career growth.

You will tackle meaningful projects in a fast-paced data environment, collaborate with professionals, and gain exposure to AI/ML concepts while developing technical skills and reporting proficiency.

Qualifications

• Enrolled in a Bachelor degree program in Computer Science, Information Technology, MIS, or a similar technical field.
• Minimum GPA 3.0.
• Proficiency in SQL and Python.
• Familiarity with data architecture, ingestion and visualization models.
• Academic or project experience with AI and Machine Learning is a plus.
• Strong analytical skills and ability to think critically about complex data sets.
• Excellent communication skills and professional demeanor.
• Ability to handle multiple priorities in a matrixed organization.
• Microsoft Office proficiency.

Responsibilities

• Execute meaningful technical projects within a fast paced data environment.
• Collaborate with a team of professionals to solve complex business problems.
• Engage in professional development training and networking activities.
• Utilize research to identify business issues and propose data driven solutions.
• Develop technical proficiency with internal methodologies and reporting tools.

Skills

SQL

Python

Data analysis

Communication

Microsoft Office

Education

Bachelor's degree in Computer Science or related field

Job description

Sotalent is offering a paid data engineering internship in Houston for ten weeks, hybrid work arrangement. The program pairs you with mentors and provides networking events and regular feedback to accelerate career growth.

You will tackle meaningful projects in a fast-paced data environment, collaborate with professionals, and gain exposure to AI/ML concepts while developing technical skills and reporting proficiency.