Data Engineer Intern (AI)

Location: On-site at the San Mateo office; candidates must be in the Bay Area and able to commute to the office.

Compensation: $20–$25 per hour.

Company

hirify.global is an AI and video commerce company building a large-scale video commerce platform for enterprise brands and retailers.

What you will do

• Assist with designing, developing, and maintaining data pipelines and infrastructure for analytics, business intelligence, and machine learning.
• Support ETL/ELT processes that collect, transform, and organize data from multiple sources.
• Write and optimize SQL queries and Python scripts for data processing, reporting, and analysis.
• Help build and maintain data tools and dashboards that provide insights into business and product performance.
• Collaborate with data engineers, software engineers, and analytics teams to improve data accessibility, quality, and reliability.
• Troubleshoot pipeline issues, document workflows, participate in code reviews, and learn engineering best practices with guidance from senior engineers.

Requirements

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical field.
• Foundational knowledge of Python and SQL, including query writing, data manipulation, or scripting through coursework, projects, or internships.
• Basic understanding of databases, data structures, and data processing concepts.
• Familiarity with ETL/ELT processes, data pipelines, or data warehousing concepts.
• Strong analytical and problem-solving skills, attention to detail, willingness to learn, and effective communication and collaboration skills.
• Must be able to work on-site at the San Mateo office and be located in the Bay Area.

Nice to have

• Interest in modern AI and data technologies such as Claude, Snowflake, BigQuery, Apache Spark, Flink, or Apache Airflow.
• Previous technical projects, relevant coursework, or internship experience in data engineering, software development, or analytics.
• Proactive attitude, intellectual curiosity, and enthusiasm for data and emerging technologies.

Culture & Benefits

• Hands-on experience with real-world data systems and meaningful data engineering projects.
• Exposure to cloud-based data infrastructure, data warehouses, and modern data processing technologies.
• Collaborative, fast-paced environment with opportunities to learn from experienced engineers.
• Inclusive workplace committed to equal employment opportunity and prohibiting discrimination and harassment.