Imagine Your Future with Us! Since 1971, Paychex has been at the forefront of simplifying HR, payroll, and benefits for American businesses. Our digital HR technology and advisory solutions cater to the changing needs of employers and their employees. With our award-winning training and endless opportunities for growth and development, you can build a lifelong career with us. We pride ourselves on fostering an inclusive and innovative culture. Our leaders are here to support your career journey; they and our dedicated employees embody the values that drive us to support each other, our clients, and our communities. Join us to pursue your passion and unleash your potential.

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

• 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

• 4 years of experience in Working with SQL, 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.

Requirements:

• Bachelor's Degree in Computer Science, Data Science, Engineering or equivalent software/services experience - Required
• 8 to 10 years of experience with 5+ years of relevant data experience.
• Experience with SQL, Experience with large scale data processing, ETL, Data Profiling, Databricks, Azure Data Factory, Snowflake.
• Excellent collaboration and team building skills.
• Demonstrates problem solving skills.
• Strong verbal communication and listening skills.
• Possesses a high degree of initiative.

• 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.

Paychex is an equal opportunity employer that fosters a workplace culture of Diversity, Equity, & Inclusion. Our valued employees and commitment to DEI are the essence of our internal and external success.