Data Pipeline Jobs (NOW HIRING)

Location: Remote (Must be based anywhere in the Czech Republic)

About Paylocity

Paylocity is an award-winning provider of cloud-based HR and payroll software solutions, offering the most complete platform for the modern workforce. The company has become one of the fastest-growing HCM software providers worldwide by offering an intuitive, easy-to-use product suite that helps businesses automate and streamline HR and payroll processes, attract and retain talent, and build a strong workplace culture. While traditional HR and payroll providers automate basic HR processes such as payroll and benefits administration, Paylocity goes further by developing tools that HR and businesses need to compete for talent and deliver against the expectations of the modern workforce.

Want to develop the strategies and principles needed to deliver compelling software?

Join our team and help us enhance our all-in-one software platform, elevate our one-of-a-kind technology, and improve the employee experience.

Take your career to the next level at one of G2's Top 100 Software Companies. Explore our Product & Technology positions to see where you fit!

Position Overview
Join our Pipeline Team as a Senior Data Engineer - a role designed for a software engineer who thrives at the intersection of high-scale data and distributed systems. You won’t just be writing ETL; you will be engineering the high-performance delivery systems that power our customer-facing data products and serve as the governed source for our future Agentic AI initiatives. We are looking for a candidate who treats data as a product and infrastructure as code, applying rigorous software engineering principles (CI/CD, modular design, and automated testing) to solve complex puzzles in Snowflake optimization and native data-tier security.

Primary Responsibilities
The below represents the primary duties of the position, others may be assigned as needed. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Architect, implement, and manage complex data pipelines and storage solutions that deliver high-fidelity data directly to customer-facing applications and AI-ready endpoints.
• Optimize data workflows for performance, scalability, and reliability, specifically solving the challenge of maintaining low-latency refresh rates while ensuring strict Snowflake cost-efficiency.
• Design and deploy scalable architectural frameworks and shared platforms to solve foundational needs, such as implementing native Attribute-Based Access Control (ABAC) security models or automated governance tooling.
• Deconstruct and solve multi-layered technical challenges in an effective and systematic manner, applying organized analysis and methodical execution to resolve intricate data engineering problems.
• Lead projects related to modern integration, developing and extending internal tooling like reusable dbt packages, custom macros, and automated data-quality guardrails.
• Mentor junior data engineers and enforce software engineering best practices, including modular design patterns, rigorous code reviews, and comprehensive documentation.
• Work closely with stakeholders to define data strategy and solutions that natively support the broader ecosystem of modern metadata, governance, and AI-enabled workflows.

Education and Experience

• Bachelor’s degree in a technical field (Computer Science, Engineering, or related). Master’s preferred.
• 5+ years of experience in data engineering or software development, with a proven track record of building production-grade distributed systems.
• Expertise with DBT and Snowflake, including a deep understanding of Snowflake internals, performance tuning, and cost-optimization strategies.
• Strong knowledge of software development patterns, applying Python and “Infrastructure as Code” principles to the data domain (DRY, testing, modularity).
• Expertise in big data streaming technologies and event-driven architectures (Kafka, AWS Kinesis, Eventbridge).
• Experience in data modeling, real-time processing, and implementing complex, native security and access control models at scale.

Physical requirements

• Ability to sit for extended periods: The role requires sitting at a desk or workstation for long periods, typically 7-8 hours a day.
• Use of computer and phone systems: The employee must be able to operate a computer, use phone systems, and type. This includes using multiple software programs and inquiries simultaneously.

Paylocity is an equal-opportunity employer. Paylocity is committed to the full inclusion of all individuals. We recruit, train, compensate, and promote regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. At Paylocity, we believe diversity makes us better.

We embrace and encourage our employees' differences in age, culture, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion or spiritual belief, sexual orientation, socio-economic status, veteran status, and other characteristics that make our employees unique. We actively cultivate these differences through our employee resource groups (ERGs), employee experiences, perspectives, talents, and approaches to drive innovation in the software and services we provide our customers.

We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. To request reasonable accommodation in the job application or interview process, please contact Leave Benefits@paylocity.com. This email address is exclusively designated for such requests, aligning with federal and state disability laws. Please do not send resumes to this email address, as they will be removed.

#LI-Remote