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Paychex
Data Engineer
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Based on New York data
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$115,876 / year median in New York
+8% projected growth
Job 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. Overview Source, extract, and manipulate large data sets to serve Business Analytics, Machine Learning and Artificial Intelligence needs of Paychex. Responsibilities Utilize existing infrastructure to assemble large, complex data sets that meet business requirements through extraction, transformation, and loading of data from a wide variety of data sources Work closely with architects, solution leads, data owners, Data Scientists and key stakeholders to facilitate and coordinate the data platform backlog grooming process, triaging new feature requests in preparation for future project activities Deliver automation & efficient processes to ensure high quality throughput & performance of the entire data & analytics platform Ensure data extraction, transformation and loading data meet data security & compliance requirements Engage with data source platform leads to gain tactical and strategic understanding of data sources required by Agency Data Services AI/ML as well as Data Office standards. Create data tools for data scientist team members that assist them in building and optimizing models for use in Paychex products Qualifications Bachelor's Degree in Computer Science, Data Science, Engineering or equivalent software/services experience
- Required 4 years of experience in Working with SQL, Snowflake, Databricks, Spark and/or other Big Data technologies.
- Preferred Problem Solving
- Preferred Troubleshooting (Problem Solving)
- Preferred Management
- Preferred Operations
- Preferred Data Engineering
- Preferred Python (Programming Language)
- Preferred SQL (Programming Language)
- Preferred Extract Transform Load (ETL)
- Preferred Data Pipelines
- Preferred Computer Science
- Preferred Apache Spark
- Preferred Data Warehousing
- Preferred Amazon Web Services
- Preferred Apache Hadoop
- Preferred Live the Paychex Values Act with uncompromising integrity.
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.