Data Engineer

Description

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.

Location

Must be based in Guadalajara

Position Overview

The Data Engineer is responsible for designing, building, and optimizing data pipelines that support analytical and operational use cases. This role involves working with large-scale data infrastructure, ensuring efficient data flow across various systems and applications.

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.

• Develop, maintain, optimize, and document ETL/ELT pipelines.
• Ensure data integrity and security across storage and processing layers.
• Work with data warehousing technologies to support business intelligence.
• Automate data processing tasks to improve efficiency and scalability.
• Collaborate with data scientists and software engineers to integrate data solutions.

Education and Experience

• Bachelor’s degree in Computer Science, Data Engineering, or related discipline.
• 2+ years of experience in data engineering or software development.
• Proficiency in SQL and Python
• Knowledge of data modeling, data governance, and distributed computing.
• Experience with cloud data platforms (AWS Redshift, Snowflake, BigQuery) is big plus.
• Experience with DBT is big plus
• Communication Proficiency: Excellent written and verbal English communication skills.

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 [email protected]. This email address is exclusively designated for such requests, aligning with federal and state disability laws.

Your personal data will be processed for recruitment purposes in accordance with our Notice of Privacy Practices for Mexico Job Applicants and applicable Mexican data protection laws.