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Data Engineer
  • Spark
  • SQL
  • Machine Learning
  • Big Data
  • Database
  • Data Mining
  • ETL
  • Modeling
  • Hadoop
  • NoSQL
139 days ago
Delivering one-of-a-kind cloud technology, accompanied by award winning customer service, Paylocity is a software company in a category of its own.

Poised to revolutionize the world of human capital management for hundreds of thousands of small and medium sized businesses, we are seeking the best and the brightest to help us create the future - enabling our customers to be employers of choice for their employees and supervisors.

Our Product & Technology organization nurtures a dynamic agile work environment full of talented individuals with a variety of thoughts, ideas and backgrounds working in small squads around a shared mission. Guided by our development principles, and a passion for compelling software, we come together to deliver great products and make Paylocity an exciting place to work.

As a Data Engineer, you will help design, create, deploy and maintain Paylocity's data architecture. This role will influence how the data will be stored, consumed, integrated and managed by different data entities and systems. The role will be pivotal in engineering the tactical work of getting source data to its target.

Are you the teammate we are looking for?

Who you are:
Enthusiastic about software architecture to provide the ultimate customer experience
An advocate for continuous improvement of our software development process
Invested in staying current in data architecture by applying new technologies and practices
Able to work in a collaborative environment with a willingness to share your ideas
Able to work independently on modules and complete tasks with high quality and contribute to high velocity, but unafraid to seek out suggestions from other team members

Excited to work on cutting-edge technology 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 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 meaningfully contribute to a vast market opportunity
Ample opportunity and encouragement to stay current with external training
A phenomenal culture that keeps getting better Required Experience:

Bachelor's degree in a computer science, engineering, technology related field or equivalent experience
Experience of data modeling tools and standards, ETL tools, and big data technologies (e.g., Hadoop, Spark, Pig, NoSQL).
Knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
Working experience with data lakes and data warehouses
Should be familiar with Systems Architecture and developer tools
Data-oriented personality
Must be able to work effectively in an agile environment
Must be effective and creative in problem solving During the last three months, you would have:

Design, develop, and maintain relational databases for data storage and data mining.
Design, deploy, and manage the organization's data architecture.
Perform data warehouse design and testing, including data design, database architecture, metadata, and repository creation.
Create and support the ETL process to extract the data from source systems and place it into the data warehouse.
Work closely with data analysts, data scientists, and other data consumers to optimize reports by defining business requirements and populating the data warehouse table structure.
Design data warehouse schematics and layouts and develop capacity planning.
Create and implement effective metrics and monitoring processes.
Develop processes and procedures for entering information into data warehousing systems and for ensuring its reliability.
Seek continuous improvement in performance of data warehouse and ensure security of data.
Collaborate with technology and management teams to understand structural requirements and define standards for how data will be stored, consumed, integrated, and managed across the organization and translate into a usable blueprint.
Build an inventory of data needed to implement architecture and create a vision for how data will flow through the organization.
Design and build complex data models, approve modifications, and implement systems. Implement measures to ensure data accuracy and accessibility, constantly monitoring and refining the performance of data management systems. Produce and enforce database development standards.

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