Data Engineer

Job Description
Paychex is reimagining how businesses manage their workforce by bringing payroll, HR, benefits, and advisory services together into a single connected HCM platform. As Paychex and 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.
Overview

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

Responsibilities

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

Qualifications

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 DevOps and GitHub Actions.
2 years of experience in Salesforce FSC, Salesforce Data Cloud.
Communication
Problem Solving
Troubleshooting (Problem Solving)
Management
Operations
Data Engineering
Python (Programming Language)
SQL (Programming Language)
Extract Transform Load (ETL)
Data Pipelines - Preferred
Computer Science
Apache Spark
Data Warehousing
Amazon Web Services
Apache Hadoop

Compensation

In the spirit of pay transparency, we are excited to share that the base pay range for this position is $99,600 - $150,000 per year. Please keep in mind that this range is the base pay only and does not consider other components that make up the total rewards package for the position. If you are hired at Paychex, your overall compensation will be determined based on factors such as geographic location, skills, education, and/or experience which may result in total compensation outside of this range

Live the Paychex Values

Act with uncompromising integrity.
Provide outstanding service and build trusted relationships.
Drive innovation in our products and services and continually improve our processes.
Work in partnership and support each other.
Be personally accountable and deliver on commitments.
Treat each other with respect and dignity.