Paylocity
5001 - 10000 employees
Founded 1997
👥 HR Tech
☁️ SaaS
🤝 B2B
💰 $10M Venture Round - Paylocity on 2008-05
HR Tech • SaaS • B2B
Paylocity is a provider of cloud-based payroll and human capital management software for businesses of all sizes. Its platform includes payroll, HR, time & labor, benefits administration, talent management (recruiting, onboarding, performance, learning), employee experience tools and AI-driven features, and it serves small businesses through enterprises as well as partners such as accountants, brokers, and tech partners.
Staff Engineer, Data Pipeline
Job not on LinkedIn
🕒 Yesterday
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Paylocity
5001 - 10000 employees
Founded 1997
👥 HR Tech
☁️ SaaS
🤝 B2B
💰 $10M Venture Round - Paylocity on 2008-05
HR Tech • SaaS • B2B
Paylocity is a provider of cloud-based payroll and human capital management software for businesses of all sizes. Its platform includes payroll, HR, time & labor, benefits administration, talent management (recruiting, onboarding, performance, learning), employee experience tools and AI-driven features, and it serves small businesses through enterprises as well as partners such as accountants, brokers, and tech partners.
📋 Description
• Design and implement scalable data platforms for enterprise applications. • Establish best practices in data governance, security, and reliability. • Lead the evaluation and adoption of emerging data technologies. • Provide technical guidance and mentorship to the data engineering team. • Collaborate with cross-functional teams to enable data-driven decision-making.
🎯 Requirements
• Bachelor's degree in Computer Science, Data Engineering, or related discipline. • 7+ years of experience in data engineering with a proven track record of delivering complex projects/initiatives. • Strong expertise in Snowflake and DBT. • Proficient in SQL, advanced in Python. • Experience with continuous delivery practices in Data Engineering. • Good understanding of Airflow and one of the main cloud infrastructure providers (AWS, GCP, Azure). • In-depth understanding of Data Engineering concepts (slowly changing dimension, incremental ELT, blue-green deployment).
🏖️ Benefits
• Health insurance • Professional development opportunities
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