Data Solutions Engineer

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.

The Data Solutions Engineer will play a key role in integrating, architecting, and optimizing data systems to support data monetization, analytics, machine learning, artificial intelligence, and large‑scale data operations. The role will involve collaborating with cross‑functional teams to develop and deploy end‑to‑end solutions that improve data availability, scalability, security, and overall performance, ensuring alignment with both business goals and technical best practices.

• Work with architects, operations teams, and data scientists to define data requirements and translate them into actionable data strategies. Design, build and optimize data systems for performance, scalability, ease of use and reliability, leveraging tools for observability and troubleshooting; includes exploration of multiple solution options for any given integration objective and analysis of associated advantages and disadvantages. Enhance system integration for data workflows, ensuring performance metrics are met and all integrations remain stable and secure.
  
  Collaborate on the integration of AI/ML platforms, ensuring seamless multi‑cloud and hybrid cloud operations.
• Build and optimize data pipelines to support data extraction, transformation, and loading (ETL) processes using technologies such as Databricks, Snowflake, and Informatica IDMC. Develop automation frameworks and CI/CD pipelines using tools like Terraform, Git Hub Actions, and Azure Pipelines for efficient and reliable data deployment. Ensure data pipelines comply with security, privacy, and compliance standards. Provide occasional operational support and troubleshooting for existing processes and systems.
• Work closely with internal teams, including data engineers, data scientists, analytics engineers and business stakeholders, to understand platform solution needs. Mentor junior engineers, providing guidance on best practices and technologies. Evangelize integration practices and knowledge within the organization to improve collaboration across teams.
• Stay abreast of the latest trends in cloud computing, machine learning, AI, and data engineering. Explore new technologies and methodologies to continuously improve systems, tools, and data processes.

Note:

Candidates must be legally authorized to work in the United States on a permanent basis. We do not offer visa sponsorship now or in the future.

• Bachelor's Degree in Computer Science, Data Science, Engineering, or related field - Required
• 7 years of experience in data engineering, software engineering, systems integration, or a related field, with demonstrated expertise in designing, building, and deploying scalable data solutions.
• 4 years of experience in cloud technologies (Azure, AWS, Google Cloud) and large‑scale data processing.
• 1 year of experience in machine learning model deployment, AI/ML solutions, and data pipeline architecture.
• Less than 1 year of experience in Familiarity with AI/ML frameworks, Dev Ops practices, and MLOps processes for integrating AI solutions.
• Snowflake Snow Pro - Preferred

In the spirit of pay transparency, we are excited to share that the base pay range for this position is $91, 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,…