Data Engineer

About the role

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.
• 4 years of experience in building and optimizing data pipelines, architectures and data sets to answer specific business questions and identify opportunities for improvement.
• 2 years of experience in working with large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, and Cosmos DB.
• 4 years of experience in proficiency with languages such as Python, SQL, PySpark, R.
• 2 years of experience in understanding of Privacy, Compliance and security aspects of data storage & processing.
• 2 years of experience in delivering data solutions via Agile methodologies.
• 4 years of experience in manipulating, processing and extracting value from large disconnected datasets.
• 2 years of experience in proficiency for Software Development & CI/CD methodologies and tools for automated infrastructure code; ML Ops.
• 2 years of experience in designing, implementing, and maintaining automation platform and tools, including Ansible Tower, Azure, ARM, Terraform Enterprise, Azure DevOps and GitHub Actions.
• 2 years of experience in Salesforce FSC, Salesforce Data Cloud.

Preferred skills: Communication, Problem Solving, Troubleshooting, Management Operations, Data Engineering, Python, SQL, ETL, Data Pipelines, Computer Science, Apache Spark, Data Warehousing, Amazon Web Services, Apache Hadoop.

Pay

The base pay range for this position is $99,600 - $150,000 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 hired, your overall compensation will be determined based on factors such as geographic location, skills, education, and/or experience.

Benefits

• Medical coverage, virtual wellness classes, tuition reimbursement, 401(k) + employer match, adoption assistance, financial assistance, and more.
• Paid time off, company holidays, culture days, and comprehensive work-life balance programs.
• Award-winning training and development programs for ongoing learning opportunities.
• Inclusive company culture that values diversity and encourages individual perspectives.
• Paid time off for volunteerism and support for local community initiatives.

Note: The benefits described apply to full-time employees. Benefits for part-time, contract, and intern roles may vary.