Job Summary:
Paychex is reimagining how businesses manage their workforce by integrating payroll, HR, benefits, and advisory services into a single platform. The Data Solutions Engineer will play a key role in optimizing data systems to support analytics, machine learning, and AI, collaborating with teams to enhance data workflows and ensure system performance.
Responsibilities:
• 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, GitHub 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.
Qualifications:
Required:
• 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, DevOps practices, and MLOps processes for integrating AI solutions.
Preferred:
• Snowflake SnowPro
Company:
Paychex is a human capital management company that delivers advisory solutions in human resources, employee benefit solutions, and payroll. Founded in 1971, the company is headquartered in Rochester, USA, with a team of 10001+ employees. The company is currently Late Stage.