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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
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.
Responsibilities

Ownership Mindset & Cross-Functional Collaboration – Thrives in a fast-paced engineering culture, quickly learns new technologies, and collaborates effectively across engineering, security, and platform teams to deliver secure, compliant, production-ready solutions while supporting monitoring, incident response, and ongoing platform operations.

• Data Platform & Databricks Administration – Strong data engineering background with experience designing, building, and supporting data pipelines and cloud data platforms. Hands-on experience administering Databricks environments, including workspace configuration, cluster management, access controls, governance, and performance optimization. 
• Azure Cloud & DevOps Engineering – Proven experience designing, building, and operating cloud-native solutions on Azure, including App Services, Container Apps, CI/CD pipelines, Terraform, container deployment, Linux administration, and overall platform engineering.
•  Advanced Python Application Development – Hands-on experience developing enterprise-grade applications using Python, including containerized solutions with Docker, API development, automation frameworks, and modern deployment practices with AI Exposure
• 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 Azure Data Factory. 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.
• 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

• 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.
• Snowflake SnowPro - Preferred

Compensation
In the spirit of pay transparency, we are excited to share that the base pay range for this position is $98,415.87 - $160,000 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.

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.Qualifications:
• 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.
• Snowflake SnowPro - Preferred
Education:UNAVAILABLEEmployment Type: FULL_TIME