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 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 - 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

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.

What's in it for you?

• We value your well-being: We provide over 21 comprehensive rewards, including medical coverage, virtual wellness classes, tuition reimbursement, 401(k) + employer match, adoption assistance, financial assistance, and much more.
• We value your time: From paid time off to company holidays, culture days, and comprehensive work-life balance programs, we will ensure you have the flexibility you need to be your best.
• We value your development: Our award-winning training and development programs empower our employees with ongoing learning opportunities to give you the building blocks to grow your career.
• We value your perspective: Our company culture reflects the diversity of our employees. We want you to be you and your voice to be heard.
• We value our communities: We offer paid time off for volunteerism and promote many company-wide and local initiatives that benefit organizations you care about.

Note: The benefits described apply to full-time employees. Benefits for part-time, contract, and intern roles may vary.


Not sure if you meet every requirement?

At Paychex, we know that great talent comes in many forms. If you're passionate about the role but don't check every box, we still encourage you to apply. You might be the right fit - either for this position or another opportunity with us.




Paychex is an equal opportunity employer. We are committed to fostering a respectful and inclusive workplace where all individuals are treated fairly and evaluated based on their qualifications, experience, and merit. We comply with all applicable federal, state, and local laws prohibiting discrimination in employment.

• 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 DevOps and GitHub 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