Job description

Why UKG: At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do. We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you. Role Overview: The Data & AI Engineer will help build and support data pipelines, analytics solutions, and AI-enabled capabilities. This is an entry-level role for someone who wants to develop hands-on skills in data engineering, cloud platforms, and applied AI while working with experienced engineers and business teams. Key Responsibilities: • Build and maintain data ingestion and transformation pipelines. • Write SQL and Python code to process, validate, and prepare data. • Help organize data into trusted, reusable datasets for reporting and analytics. • Support data quality checks, issue investigation, and pipeline monitoring. • Assist with developing and testing AI and machine learning solutions. • Work with cloud services and tools for data storage, processing, and model development. • Document data flows, code, and technical processes. • Collaborate with data engineers, architects, analysts, and business partners. • Follow established standards for data security, governance, and software development. Basic Qualifications: • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience. • Foundational experience with SQL and Python through coursework, projects, internships, or work experience. • Understanding of databases, data structures, and basic data processing concepts. • Interest in cloud data platforms and artificial intelligence. • Strong problem-solving, communication, and teamwork skills. • Willingness to learn new tools and technologies. Preferred Qualifications: • Exposure to a cloud platform such as Google Cloud, AWS, or Azure. • Familiarity with data warehouses, ETL/ELT pipelines, or orchestration tools. • Experience with Git and basic software development practices. • Exposure to machine learning concepts or AI tools. • Familiarity with data quality, metadata, or data governance concepts. Company Overview: UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge. Learn more at ukg.com. Equal Opportunity Employer UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories. View The EEO Know Your Rights poster UKG participates in E-Verify. View the E-Verify posters here . It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Disability Accommodation in the Application and Interview Process For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com . The pay range for this position is $71,900 to $103,350. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation. Learn more about UKG’s benefits and rewards at ukg.com

Requirements

Must-haves

Build and maintain data ingestion and transformation pipelines.
Write SQL and Python code to process, validate, and prepare data.
Help organize data into trusted, reusable datasets for reporting and analytics.
Support data quality checks, issue investigation, and pipeline monitoring.
Assist with developing and testing AI and machine learning solutions.
Work with cloud services and tools for data storage, processing, and model development.
Document data flows, code, and technical processes.
Collaborate with data engineers, architects, analysts, and business partners.
Follow established standards for data security, governance, and software development.
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience.
Foundational experience with SQL and Python through coursework, projects, internships, or work experience.
Understanding of databases, data structures, and basic data processing concepts.
Interest in cloud data platforms and artificial intelligence.
Strong problem-solving, communication, and teamwork skills.
Willingness to learn new tools and technologies.

Nice-to-haves

Exposure to a cloud platform such as Google Cloud, AWS, or Azure.
Familiarity with data warehouses, ETL/ELT pipelines, or orchestration tools.
Experience with Git and basic software development practices.
Exposure to machine learning concepts or AI tools.
Familiarity with data quality, metadata, or data governance concepts.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisqlpythonmachine learningawsazure

Platform: eightfold
Effort: medium