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Database Engineer Intern Jobs in Texas (NOW HIRING)

Junior Python Developer

Austin, TX · On-site

$49 - $67.50/hr

About the Role We are seeking a highly motivated Python Developer Intern with an interest in ... vector databases (FAISS, Qdrant, Pinecone). • Experience with FastAPI, Flask, or Django. • ...

New

Junior Python Developer

Austin, TX · On-site

$49 - $67.50/hr

About the Role We are seeking a highly motivated Python Developer Intern with an interest in ... Familiarity with LLMs, embeddings, or vector databases (FAISS, Qdrant, Pinecone). * Experience with ...

New

Beusa Intern

The Woodlands, TX · On-site

$13.75 - $18.25/hr

Data Technology: "May" collaborate with IT teams to maintain databases, troubleshoot system issues ... Sophomore or junior in a related engineering or business program (e.g., petroleum, mechanical ...

Land Outreach Intern

San Antonio, TX

$13.50 - $18/hr

Vice President of Project Development OCI Energy is a respected developer, owner, and operator of ... Maintain and update landowner, property, and market prospecting databases. * Assist with organizing ...

Land Outreach Intern

San Antonio, TX · On-site

$13.75 - $18.25/hr

Land Outreach Intern OCI Energy is a respected developer, owner, and operator of utility-scale ... Maintain and update landowner, property, and market prospecting databases. * Assist with organizing ...

... through programming that provides innovative and engaging experiences for teens in education ... Requirements What You'll Do Database & Systems Maintenance * Perform data entry and updates in ...

Showing results 41-60

Database Engineer Intern information

What are the key skills and qualifications needed to thrive as a database engineer intern?

To thrive as a Database Engineer Intern, you need a solid understanding of database concepts, proficiency in SQL, and familiarity with relational and/or NoSQL databases, often supported by coursework in computer science or information technology. Experience with tools like MySQL, PostgreSQL, MongoDB, and basic knowledge of cloud platforms or data modeling tools is typically expected. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in collaborative and learning-focused environments. These skills are crucial for ensuring data integrity, optimizing database performance, and contributing effectively to team projects.

What does a database engineer intern do?

A Database Engineer Intern typically assists in designing, implementing, and maintaining database systems under the guidance of senior engineers. Their responsibilities may include writing and optimizing SQL queries, helping with data modeling, ensuring data integrity, and supporting database backup and recovery. Interns often work with teams to learn best practices for database performance and security. This role provides hands-on experience with database technologies and helps interns gain practical skills relevant to a career in database engineering.
What are the most commonly searched types of Database Engineer jobs in Texas? The most popular types of Database Engineer jobs in Texas are:
What cities in Texas are hiring for Database Engineer Intern jobs? Cities in Texas with the most Database Engineer Intern job openings:

Junior Python Developer

P99soft INC

Austin, TX • On-site

$49 - $67.50/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

About the Role We are seeking a highly motivated Python Developer Intern with an interest in Artificial Intelligence and Machine Learning. You will work closely with our engineering and data science teams to build Python-based applications, automate workflows, and contribute to AI/ML model development, evaluation, and deployment. This role is ideal for someone who enjoys coding, experimenting with models, and solving real-world problems using data and algorithms. Required Skills • Strong understanding of Python (OOP, data structures, modules, error handling). • Basic knowledge of machine learning concepts (regression, classification, evaluation metrics). • Familiarity with ML libraries such as NumPy, Pandas, Scikit‑learn. • Understanding of APIs, JSON, and backend fundamentals. • Experience with Git/GitHub for version control. • Ability to learn quickly and work collaboratively. Preferred Skills • Exposure to deep learning frameworks (PyTorch or TensorFlow). • Familiarity with LLMs, embeddings, or vector databases (FAISS, Qdrant, Pinecone). • Experience with FastAPI, Flask, or Django. • Knowledge of cloud platforms (AWS, Azure, GCP). • Understanding of Docker or containerized development. • Experience with data engineering tools (Airflow, Spark) is a plus.