Data Solutions Engineer

Overview

The Data Solutions Engineer will integrate, architect, and optimize data systems to support data monetization, analytics, machine learning, artificial intelligence, and large-scale data operations.

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.
• Familiarity with AI/ML frameworks, DevOps practices, and MLOps processes for integrating AI solutions.
• Snowflake SnowPro - Preferred

Compensation

The base pay range for this position is $98,415.87 - $160,000 per year.

What's in it for you?

• We value your well-being: 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: Paid time off, company holidays, culture days, and comprehensive work-life balance programs.
• We value your development: Award-winning training and development programs.
• We value your perspective: Company culture reflects the diversity of our employees.
• We value our communities: Paid time off for volunteerism and company-wide/local initiatives benefiting 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.