Data & AI Intern

Salas O'Brien

. Assist with building and maintaining data pipelines, including ingestion, transformation, data quality checks, and monitoring .

Posted 10/26/2026part-timeRemote • United StatesEntry Level💰 $22 - $27 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates foundational knowledge in Python and SQL, with a focus on data engineering and machine learning. Capable of building and maintaining data pipelines while effectively communicating technical concepts and collaborating within product teams.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyData EngineeringMachine Learning ExposureCloud Data Platforms Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData StructuresData ModelingSoftware DevelopmentData Quality ChecksData IngestionData TransformationTroubleshootingCode Review

Soft Skills

Problem-SolvingAttention to DetailClear CommunicationAbility to LearnTeam Collaboration

Tools & Technologies

GitDatabricksDelta LakeUnity CatalogCloud Data Platforms

Industry Keywords

Data EngineeringMachine LearningArtificial IntelligenceData QualityTechnical Documentation

Tech Stack

Tools & technologies

CloudPythonSQLUnity

About the role

Key responsibilities & impact

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 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
Help investigate defects, data quality issues, and other technical problems
Support testing and evaluation of data and AI solutions
Participate in product pod discussions to understand business requirements and technical decisions
Maintain documentation for supported components, processes, and projects
Work with the product pod on prioritized backlog items and business problems
Report to the Data & AI Product Manager with technical guidance from product-pod engineers

Requirements

What you’ll need

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

Benefits

Comp & perks

Employee-owned company
Great total rewards
Remote work arrangement