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. The role involves collaborating with cross-functional teams to develop and deploy end-to-end solutions that improve data availability, scalability, security, and overall 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; explore multiple solution options for any given integration objective and analyze 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

• Bachelor's Degree in Computer Science, Data Science, Engineering, or related field
• 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

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.

Compensation

The base pay range for this position is $91,526 - 156,500 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.

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: A diverse and inclusive workplace where all individuals are treated fairly and evaluated based on their qualifications, experience, and merit.
• We value our communities: Paid time off for volunteerism and company-wide/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.

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.