Data Engineer

Paychex is reimagining how businesses manage their workforce by bringing payroll, HR, benefits, and advisory services together into a single connected HCM platform. As Paycor come together, we're combining innovative technology, data-driven insights, AI, and human expertise to help organizations work smarter, support their people, and achieve better business outcomes. This is an exciting time to join our team as we continue to invest in innovation, simplify client experiences, and shape the future of work.

At Paychex, you'll have the opportunity to grow your career, make a meaningful impact, and be part of something bigger as One Paychex.

Source, extract, and manipulate large data sets to serve Business Analytics, Machine Learning and Artificial Intelligence needs of Paychex.

• Utilize existing infrastructure to assemble large, complex data sets that meet business requirements through extraction, transformation, and loading of data from a wide variety of data sources
• Work closely with architects, solution leads, data owners, Data Scientists and key stakeholders to facilitate and coordinate the data platform backlog grooming process, triaging new feature requests in preparation for future project activities
• Deliver automation & efficient processes to ensure high quality throughput & performance of the entire data & analytics platform
• Ensure data extraction, transformation and loading data meet data security & compliance requirements
• Engage with data source platform leads to gain tactical and strategic understanding of data sources required by Agency Data Services AI/ML as well as Data Office standards.
• Create data tools for data scientist team members that assist them in building and optimizing models for use in Paychex products

• Bachelor's Degree in Computer Science, Data Science, Engineering or equivalent software/services experience
  - Required
• 4 years of experience in Working with SQL, Snowflake, Databricks, Spark and/or other Big Data technologies.
• 4 years of experience in Experience building and optimizing data pipelines, architectures and data sets to answer specific business questions and identify opportunities for improvement.
• 2 years of experience in Experience working with large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, and Cosmos DB.
• 4 years of experience in Proficiency with languages such as Python, SQL, PySpark, R.
• 2 years of experience in Understanding of Privacy, Compliance and security aspects of data storage & processing.
• 2 years of experience in Experience delivering data solutions via Agile methodologies.
• 4 years of experience in A successful history of manipulating, processing and extracting value from large disconnected datasets.
• 2 years of experience in Proficiency for Software Development & CI/CD methodologies and tools for automated infrastructure code; ML Ops.
• 2 years of experience in Design, implement, and maintain automation platform and tools, including Ansible Tower, Azure, ARM, Terraform Enterprise, Azure Dev Ops and Git Hub Actions.
• 2 years of experience in Salesforce FSC, Salesforce Data Cloud.
• Communication
  - Preferred
• Problem Solving
  - Preferred
• Troubleshooting (Problem Solving) - Preferred
• Management
  - Preferred
• Operations
  - Preferred
• Data Engineering
  - Preferred
• Python (Programming Language) - Preferred
• SQL (Programming Language) - Preferred
• Extract Transform Load (ETL) - Preferred
• Data Pipelines
  - Preferred
• Computer Science
  - Preferred
• Apache Spark
  - Preferred
• Data Warehousing
  - Preferred
• Amazon Web Services
  - Preferred
• Apache Hadoop
  - Preferred

• Act with uncompromising integrity.
• Provide outstanding service and build trusted relationships.
• Drive innovation…