[Hiring] Data & AI Intern @Haag, a Salas O'Brien Company

Role Description

As a Data & AI Product Engineer Intern, you will support the development of data pipelines, models, and applications that power practical Data & AI products. You will contribute to real product work while learning established platform patterns, engineering practices, and quality standards.

This is a hands-on internship designed to provide experience working on real business problems alongside experienced engineers. You will have opportunities to build your Python and SQL skills, learn modern data and AI technologies, and see how solutions move from an idea through development and testing.

You will be part of a small product pod, working with a Product Manager and engineers to deliver and improve useful, reliable products.

Responsibilities

• Assist with building and maintaining data pipelines, including ingestion, transformation, data quality checks, and monitoring.
• Contribute to product features through coding, testing, documentation, and troubleshooting.
• Support machine learning or generative AI components when they are part of the product roadmap.
• Write and test Python and SQL with guidance from experienced engineers.
• Learn and follow established platform patterns, engineering standards, and development practices.
• Participate in code reviews to learn from feedback and develop stronger engineering practices.
• Help investigate defects, data quality issues, and other technical problems.
• Support testing and evaluation to help determine whether data and AI solutions are working as intended.
• Participate in product pod discussions to better understand business requirements and technical decisions.
• Maintain documentation for the components, processes, and projects you support.

Qualifications

• Currently pursuing a bachelor’s or master’s degree in computer science, data science, engineering, mathematics, information systems, or a related discipline.
• Foundational knowledge of Python and SQL through coursework, projects, previous internships, or other experience.
• Basic understanding of databases, data structures, data modeling, software development, or related concepts.
• Strong problem-solving skills and attention to detail.
• Ability to learn new technical concepts and apply feedback.
• Ability to communicate progress, questions, and challenges clearly.
• Interest in data engineering, machine learning, artificial intelligence, or software development.

Requirements

• Coursework or project experience involving Python, SQL, data engineering, machine learning, or software development.
• Exposure to cloud data platforms or distributed data processing.
• Familiarity with version control tools such as Git, including basic concepts such as branches, commits, and pull requests.
• Exposure to Databricks, Delta Lake, or Unity Catalog.
• Coursework, projects, or personal experience involving machine learning or generative AI.
• Experience developing a technical project individually or as part of a team.

Compensation & Benefits

• The expected base salary range for this role is $22-$27 USD per year. Actual compensation will be determined based on a number of factors including skills, experience, qualifications, and location.

Equal Opportunity Employment Statement

Salas O’Brien provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state/provincial, or local laws. Salas O’Brien will accommodate the disability-related needs of applicants as required by law.