Data Engineer Intern at Liba Space

Wayne State University; Madison (WI); On-site; USD 27,552 - 41,328; Full time

Job summary

A prominent university is seeking a Data Engineer Intern in Madison, Wisconsin. The role involves building and maintaining web scrapers, designing ETL pipelines, and working with AI engineers to drive data quality and automation. The ideal candidate should have strong programming skills in Python, experience with web scraping tools, and familiarity with database management. This position offers the opportunity to work in a dynamic startup-like environment.

Qualifications

• Strong programming skills in Python required.
• Experience with web scraping tools/frameworks preferred.
• Knowledge of data cleaning and normalization techniques necessary.
• Familiarity with SQL and NoSQL databases is advantageous.
• Capable of designing and automating workflows.

Responsibilities

• Build and maintain web scrapers for data extraction.
• Design ETL/ELT pipelines for data normalization.
• Collaborate with AI engineers on model training.
• Monitor data quality and scraper performance.
• Explore new data sources for long-term infrastructure.

Skills

Strong programming skills in Python

Experience with web scraping tools

Understanding of data cleaning techniques

Knowledge of SQL and NoSQL databases

Ability to design and automate ETL workflows

Strong problem-solving skills

Curiosity and fast learning ability

Tools

Playwright

Selenium

Scrapy

BeautifulSoup

Apify

Job description

About Jobnova

Jobnova.ai is building the AI-powered job and people discovery infrastructure of the future. Our platform connects job seekers and companies through intelligent matching, AI agents, and large-scale data aggregation across job boards, social platforms, and talent networks.

We’re looking for a Data Engineer Intern who is excited about working with real-world data at scale — web scraping, cleaning, structuring, and building robust data pipelines that power AI models and recommendations.

This role is perfect for someone who loves building systems, automating data collection, and turning messy data into reliable signals.

Responsibilities

• Build and maintain web scrapers to extract job postings, candidate profiles, company data, and social signals from multiple platforms.
• Design and implement ETL / ELT pipelines to clean, normalize, and transform unstructured data into usable formats.
• Work with vector databases and structured stores to support retrieval, ranking, and AI matching.
• Develop automated workflows for recurring data collection and enrichment.
• Collaborate with AI engineers to support model training, evaluation, and production inference.
• Monitor data quality, reliability, and scraper performance, and implement optimizations.
• Explore new data sources and propose scalable approaches for long-term data infrastructure.

Qualifications

• Strong programming skills in Python.
• Experience with web scraping tools / frameworks (Playwright, Selenium, Scrapy, BeautifulSoup, Apify, etc.).
• Understanding of data cleaning, parsing, and normalization techniques.
• Knowledge of databases (SQL, NoSQL) and familiarity with data pipeline tools.
• Ability to design and automate ETL workflows.
• Curiosity, fast learning ability, strong problem-solving skills.
• Comfortable working in a fast-paced startup environment with ambiguity.