Associate Engineer Data

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.  

The Paylocity Data Practice is a cross-functional group comprised of Data Engineering and Data Warehousing, Data Science, Reporting, and Data Insights. As an Associate Data Engineer under the Data Engineering team, you will be part of the pivotal team in designing, creating, deploying, and maintaining Paylocity's data across different data entities and systems. You will be able to learn from experienced Data Engineers and expand your data engineering knowledge. 

Are you the teammate we are looking for?

Position Overview:

It's an exciting time to be part of Data Engineering at Paylocity. We are building a cloud-based system to host all our data in a single location. We are making it easier for internal users to access data and gain new insights by joining data we have never entered. Some of the tools we use are Snowflake, Python, DBT, AWS (Lambda, Kinesis, Glue, Managed Airflow, RDS, DMS, etc.). 

We are looking for an Associate Data Engineer to join an existing team of 6. We value diversity, curiosity, accountable ownership, and a desire for continuous improvement. 

Who you are: 

• You are interested in working with data and enjoy learning new technology 
• You want to gain experience with ETL/ELT, work with TB of data, and gain knowledge of big data tools 
• You have heard about the Snowflake and would like to learn the modern approach to building data pipelines
• You can communicate (verbally and in writing) in English, and you can work in a global collaborative environment
• A high degree of self-autonomy but unafraid to seek out suggestions from other team members 

What you'll be doing: 

• Work with the team to build the systems and transformations to collate our data for new and exciting insights
• Collaborate with a global team of data engineers. We have daily standups and retros at the end of each sprint; we demo our work; we try to improve by being introspective and "blame the process but never the person." 

How we work: 

• Curiosity and candor: the quality of the idea wins the day 
• Casual, focused, and agile environment operating under our shared principles 
• Customers are at the center of everything we do 
• Small, mission-focused squads with an entrepreneurial spirit backed by enterprise investments 
• Consistent routines across stakeholders to ensure complete transparency 
• Close working relationship between executive stakeholders and customers 

What we offer: 

• A compelling mission to elevate payroll and human resources across the backroom and into the boardroom 
• Focus on helping our customers automate manual processes, appeal to the modern workforce, and glean insights from analytics
• Lean enabling process that focuses on putting our customers at the center of everything we do 
• A commitment to investing in our products, hiring the best talent, and giving them the chance to contribute to a vast market opportunity meaningfully 
• Ample opportunity and encouragement to stay current with external training 
• A phenomenal culture that keeps getting better 

Requirements: 

• Bachelor’s degree in computer science, Engineering, technology-related field, or equivalent experience
• 1+ years of experience in data engineering while applying DWH/ETL best practices in traditional SQL (Snowflake or Spark) 
• 1+ years of experience with Python development and software development principles  
• Theoretical knowledge of one of the clouds (AWS, Azure, or GCP) is a big plus

 #LIRemote