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Internship Data Engineer Intern Jobs in Austin, TX

Aivra Health LLC

AI/ML Engineer Intern

Austin, TX · On-site

AI/ML Engineer Intern Location: New York, NY, USA (Hybrid/On-site/Remote) Job Type: Internship ... This internship offers hands-on experience in data processing, model development, and AI-driven ...

Ryan Companies

Scheduling Engineer Intern

Austin, TX

$20 - $25/hr

Interns who excel in this role are strong candidates for a full-time position. Some things you can ... Help capture and organize completed project schedule data to support the Data Analytics team ...

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Internship Data Engineer Intern information

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How much do internship data engineer intern jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for internship data engineer intern in Austin, TX is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $20.72 per hour, depending on experience, location, and employer.

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

To thrive as an Internship Data Engineer Intern, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by coursework or projects in computer science or data engineering. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data visualization software is commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate and learn quickly. These competencies ensure interns can contribute to data projects, adapt to new technologies, and support data-driven decision-making.

What does a data engineer intern do?

A Data Engineer Intern assists in designing, building, and maintaining the infrastructure needed to collect, store, and analyze data. They typically work with large datasets, helping to ensure data is clean, well-organized, and accessible for analytics or business needs. Interns often collaborate with data scientists and software engineers, learning key skills such as data modeling, ETL (extract, transform, load) processes, and using tools like SQL, Python, and cloud platforms. The role provides hands-on experience in building data pipelines and understanding how data drives decision-making in organizations.

What is the difference between Internship Data Engineer Intern vs Data Engineer?

AspectInternship Data Engineer InternData Engineer
Required CredentialsEnrolled in or recent graduate of a related degree (e.g., Computer Science, Data Science)Bachelor's or higher in Computer Science, Data Engineering, or related field; often requires experience or certifications
Work EnvironmentInternship setting, supervised, part-time or full-time during studiesFull-time professional role, often in a team managing data pipelines and infrastructure
Employer & Industry UsageUsed by tech companies, startups, and organizations offering training opportunitiesUsed across industries like tech, finance, healthcare, and more for data management and analytics

The Internship Data Engineer Intern position is an entry-level, temporary role designed for students or recent graduates gaining hands-on experience. In contrast, a Data Engineer is a full-time professional responsible for building and maintaining data systems. The internship provides foundational exposure, while the Data Engineer role involves ongoing, complex data infrastructure work.

What types of projects and technologies can I expect to work with as a data engineer intern?

As a Data Engineer Intern, you can expect to work on projects involving the development, testing, and maintenance of data pipelines and databases. You'll likely use technologies such as SQL, Python, and cloud platforms like AWS or Azure, depending on the company's stack. Interns often assist with data cleaning, integration, and transforming raw data into usable formats for analytics teams. Collaboration with data scientists, analysts, and senior engineers is common, providing valuable exposure to real-world workflows and teamwork in a data-driven environment.
What are popular job titles related to Internship Data Engineer Intern jobs in Austin, TX? For Internship Data Engineer Intern jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Internship Data Engineer Intern jobs in Austin, TX look for? The top searched job categories for Internship Data Engineer Intern jobs in Austin, TX are:
What cities near Austin, TX are hiring for Internship Data Engineer Intern jobs? Cities near Austin, TX with the most Internship Data Engineer Intern job openings:
Internship Data Engineer Intern jobs near you
Infographic showing various Internship Data Engineer Intern job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,821 per year, or $19.1 per hour.

AI/ML Engineer Intern

Aivra Health LLC

Austin, TX • On-site

Other

Medical

Posted 25 days ago

Job description

AI/ML Engineer Intern

Location: New York, NY, USA (Hybrid/On-site/Remote)

Job Type: Internship (Full-Time / Part-Time)

Duration: 3–6 Months (Extendable)

About the Role

We are looking for a motivated AI/ML Engineer Intern to join our engineering team. You will work on developing, training, and deploying machine learning models while collaborating with experienced engineers on real-world AI applications. This internship offers hands-on experience in data processing, model development, and AI-driven software solutions.

Key Responsibilities
  • Assist in developing and deploying Machine Learning models.
  • Collect, clean, and preprocess datasets for model training.
  • Train, evaluate, and optimize ML models.
  • Work with supervised and unsupervised learning algorithms.
  • Develop and integrate AI solutions into web applications.
  • Build and maintain data pipelines.
  • Collaborate with Software Engineers and Data Scientists.
  • Document experiments, model performance, and technical findings.
Required Qualifications
  • Pursuing a Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
  • Knowledge of Python programming.
  • Understanding of Machine Learning fundamentals.
  • Familiarity with Data Structures & Algorithms.
  • Knowledge of statistics and probability.
  • Basic understanding of SQL.
  • Strong analytical and problem-solving skills.
  • Good communication and teamwork abilities.
Preferred Skills
  • Python
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Pandas
  • NumPy
  • OpenCV
  • NLP fundamentals
  • Deep Learning
  • Computer Vision
  • Generative AI
  • AWS, Azure, or Google Cloud
  • Git & GitHub
What You''ll Gain
  • Hands-on experience building AI solutions.
  • Mentorship from AI/ML professionals.
  • Exposure to production ML workflows.
  • Opportunity for a full-time AI/ML Engineer role based on performance.
  • Professional networking opportunities.
  • Internship certificate and recommendation letter (performance-based).
Eligibility
  • Students graduating in 2026 or 2027 are encouraged to apply.
  • GPA of 3.0/4.0 or above preferred but not required.
  • Must be authorized to work in the United States or require sponsorship, if applicable.
Benefits
  • Flexible work schedule
  • Mentorship program
  • Learning & development opportunities
  • Networking events
  • Paid holidays (as per company policy)
  • Potential Pre-Placement Offer (PPO)

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