ABOUT HANDSHAKE

Handshake is building the career network for the AI economy, backed by the largest and most trusted job network on the internet. As the only three-sided job marketplace connecting 18 million knowledge workers, 1,500 educational institutions, and 1 million employers, Handshake powers career discovery, hiring, and upskilling—from first internships to full-time roles, freelance work to gig work, and beyond.
Founded in 2014, we’ve built the most trusted platform for early talent—owning the college-to-career market and powering nearly every career center. Today we’re building on that foundation to help students and early professionals upskill or reskill for the future.

Now’s a great time to join Handshake. Here’s why:

• Category Leader: Over 92% coverage across US universities & 77% of total US university student population.
• Proven Market Demand: Deep employer partnerships across Fortune 500s and the world’s leading AI research labs.
• World-Class Team: Leadership from Scale AI, Open AI, xAI, Notion, Coinbase, and Palantir, just to name a few.
• Capitalized & Scaling: $434M raised with a $175M+ run rate.

DESIRED CAPABILITIES

• 4+ years of relevant professional experience.
• Advanced SQL skills: Strong expertise in SQL and experience with data modeling and database design conventions.
• Proven leadership in data modeling or data governance, contributing to successful data strategy implementations.
• Demonstrated expertise in data modeling at scale.
• History of collaboration with product and business teams to align data initiatives with organizational goals.
• Experience using data orchestration and data modeling tools (airflow and dbt are the tools we use at Handshake)
• Cloud platform proficiency: Hands-on experience with cloud-based data technologies, preferably Google Cloud Platform (GCP), including BigQuery, DataFlow, BigTable, and more

• Design and implement scalable data models and their corresponding pipelines.
• Collaborate closely with product and business teams to translate their data requirements into effective data models and metrics.
• Develop and own the data ecosystem, ensuring robust data governance and high data quality.
• Act as a leader in the data space, driving best practices and enabling data driven decisions across the product org.