
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.
🕒 August 14
Where this job comes from
Posted on Paylocity's careers page ↗, not through a job board
First seen by Remote Rocketship August 14
Still open on Paylocity's site. Checked 10 hours ago.

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.
• Architect, implement, and manage complex data pipelines and storage solutions • Optimize data workflows for performance, scalability, and reliability • Lead projects related to data integration, quality, and governance • Mentor junior data engineers and enforce engineering best practices • Work closely with stakeholders to define data strategy and solutions
• Bachelor’s degree in the technical field • 5+ years of experience in data engineering or software development • Expertise with DBT and Snowflake • Strong knowledge of cloud-based data platforms and infrastructure • Expertise in big data streaming technologies, including Kafka, AWS Kinesis, AWS Firehose, and AWS EventBridge • Experience in data modeling, real-time processing, and advanced analytics • Ability to sit for extended periods, typically 7–8 hours per day • Ability to operate computers, use phone systems, type, and use multiple software programs simultaneously
• Reasonable accommodations for applicants and employees with disabilities • Equal-opportunity employment and commitment to inclusion • Employee resource groups (ERGs) • Employee experiences supporting diversity and inclusion
Apply NowImprove your chances of getting an interview by checking your resume score before you apply.
🕒 March 24
Senior Data Engineer at Avenga designing and maintaining scalable data pipelines and architectures. Collaborating with cross-functional teams for data-driven decision-making and analytics.
🕒 February 13
Senior Data Engineer building reliable pipelines and data products for Nebius’s global AI cloud platform. Owning architecture, data quality, scalability, and production operations.