{"id":2250639,"url":"https://alion.io/job/paychex-data-solutions-engineer","title":"Data Solutions Engineer","company":{"id":1764039,"name":"Paychex","domain":"paychex.com","url":"https://alion.io/company/paychex-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":{"grade":"B","score":75,"open_postings":57,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Rochester, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":100000,"max_usd":191000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1089},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Machine Learning","optional":false},{"name":"Snowflake","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-08-18T19:33:00Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-12T14:30:35Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":54},"description":"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.\nOverview\nThe 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.\nResponsibilities\nWork 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\nBuild 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.\nWork 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.\nStay 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.\nQualifications\nBachelor's Degree in Computer Science, Data Science, Engineering, or related field - Required\n7 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.\n4 years of experience in cloud technologies (Azure, AWS, Google Cloud) and large-scale data processing.\n1 year of experience in machine learning model deployment, AI/ML solutions, and data pipeline architecture.\nLess than 1 year of experience in Familiarity with AI/ML frameworks, DevOps practices, and MLOps processes for integrating AI solutions.\n Snowflake SnowPro - Preferred\n\nLive the Paychex Values\nAct with uncompromising integrity.\nProvide outstanding service and build trusted relationships.\nDrive innovation in our products and services and continually improve our processes.\nWork in partnership and support each other.\nBe personally accountable and deliver on commitments.\nTreat each other with respect and dignity.\nWhat's in it for you?\nWe 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.\nWe 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.\nWe 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.\nWe value your perspective: Our company culture reflects the diversity of our employees. We want you to be you and your voice to be heard.\nWe value our communities: We offer paid time off for volunteerism and promote many company-wide and local initiatives that benefit organizations you care about.\nNote: The benefits described apply to full-time employees. Benefits for part-time, contract, and intern roles may vary.\nNot sure if you meet every requirement?\nAt 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.\n\nPaychex 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.\nWork 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\nBuild 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.\nWork 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.\nStay 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.\nBachelor's Degree in Computer Science, Data Science, Engineering, or related field - Required\n7 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.\n4 years of experience in cloud technologies (Azure, AWS, Google Cloud) and large-scale data processing.\n1 year of experience in machine learning model deployment, AI/ML solutions, and data pipeline architecture.\nLess than 1 year of experience in Familiarity with AI/ML frameworks, DevOps practices, and MLOps processes for integrating AI solutions.\n Snowflake SnowPro - Preferred","description_format":"text","description_chars":7819,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-11T02:18:19Z"}],"visa":[],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.41,"p_room":0.36,"age_days":54,"expected_fill_days":28,"reasons":["conf:4","stale_co","win:tail","crowd:brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/paychex-data-solutions-engineer","json_url":"https://alion.io/job/paychex-data-solutions-engineer.json","meta":{"generated_at":"2026-10-12T15:41:00Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":24689,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1764039},"rest":"https://alion.io/mcp/rest/get_company?id=1764039"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpaychex-data-solutions-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpaychex-data-solutions-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpaychex-data-solutions-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/paychex-data-solutions-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpaychex-data-solutions-engineer"}]}