
51 - 200 employees
Founded 2019
🎯 Recruiter
🏪 Marketplace
👥 HR Tech
Recruitment • Marketplace • HR Tech
JobGet is the go-to marketplace and social job network for the Everyday Worker. It’s a fast-growing app that connects service-industry job seekers (restaurants, food service, retail, hospitality, healthcare, warehouse, trucking, customer support, and more) with employers using skill-based matching to surface local, high-intent candidates. JobGet simplifies and speeds hiring by learning about job seekers and expanding employer candidate pools beyond traditional job sites.
🕒 6 days ago
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
Founded 2019
🎯 Recruiter
🏪 Marketplace
👥 HR Tech
Recruitment • Marketplace • HR Tech
JobGet is the go-to marketplace and social job network for the Everyday Worker. It’s a fast-growing app that connects service-industry job seekers (restaurants, food service, retail, hospitality, healthcare, warehouse, trucking, customer support, and more) with employers using skill-based matching to surface local, high-intent candidates. JobGet simplifies and speeds hiring by learning about job seekers and expanding employer candidate pools beyond traditional job sites.
• Lead the technical direction for how data flows, scales, and powers decisions at JobGet • Own the data architecture behind the platform • Drive architectural decisions • Champion modern data stack adoption • Ensure platform reliability • Build production-grade pipelines • Establish data modeling standards • Solve complex data integration and performance challenges • Architect and evolve streaming data infrastructure • Enable machine learning at scale • Establish data governance standards • Implement data validation frameworks • Raise the technical bar through mentoring
• 10+ years of data engineering experience • 3–5 years operating at a principal or staff IC level in a start-up environment • Production-grade experience with Snowflake and dbt • Experience with real-time streaming technologies such as KSQL or Apache Flink is strongly preferred • Hands-on AWS experience at scale • DataOps experience: familiarity with CI/CD for data pipelines • Significant, demonstrated AI usage in your day-to-day engineering work • Expert-level proficiency in Python and SQL • Strong data modeling background • Experience building data infrastructure that supports ML/AI systems • Demonstrated track record of setting technical standards across teams • Strong grasp of data governance fundamentals • Exceptional communication and stakeholder management skills
• Purpose-driven organization • Flexible time off • Remote-first • Flexible work hours - our employees are in multiple time zones • Medical & dental plans • Parental leave • Employee stock options
Apply Now🕒 6 days ago
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